HPC Engineer Jobs in Bengaluru

Security Operations Engineer FalconX Location: Bangalore Experience: 3+ Years Education: Bachelor s degree in Cybersecurity, Computer Science, Information Technology, or related field About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the complex and fragmented digital asset ecosystem. Our platform empowers clients to navigate the crypto landscape seamlessly, providing access, liquidity, and tools to execute institutional strategies from start to scale. Role Overview We are looking for a Security Operations Engineer to strengthen our cybersecurity posture and protect our systems, data, and clients. In this role, you will monitor, detect, and respond to threats across on-premise and cloud environments, conduct investigations, perform threat hunting, and automate security operations. Key Responsibilities Monitor, detect, and respond to security incidents across cloud and on-premise environments. Analyze security alerts from various tools to identify potential threats and anomalies. Conduct forensic investigations and deep-dive analysis to identify trends and attack techniques. Perform proactive threat hunting across endpoints, networks, and cloud environments. Analyze security logs and behavioral patterns to detect Indicators of Compromise (IOCs). Investigate security incidents and provide actionable mitigation and remediation recommendations. Develop and refine threat hunting methodologies using frameworks like MITRE ATT&CK. Automate threat detection and response processes using scripting languages such as Python, PowerShell, or Bash. Continuously monitor emerging threats, vulnerabilities, and attack trends to improve strategies. Required Qualifications Bachelor s degree in Cybersecurity, Computer Science, Information Technology, or related field. 3+ years of experience in Security Operations, Threat Hunting, or a similar cybersecurity role. Hands-on experience working with log data for detection and response (Cloud, EDR, Network, etc.). Experience developing and deploying detection rules (Yara, Sigma, SQL-based rules, etc.). Strong understanding of network security monitoring, packet analysis, and log correlation. Deep knowledge of advanced threat detection methodologies and threat intelligence. Proficiency in analyzing attacker TTPs using frameworks like MITRE ATT&CK. Skilled in scripting and automation for security operations (Python, PowerShell, Bash). Familiarity with endpoint security, identity management, cloud security, and incident response. Protect critical systems, data, and client assets from emerging cyber threats. Play a key role in detecting, investigating, and responding to security incidents. Collaborate with cross-functional teams to strengthen security posture and operational resilience. Drive proactive threat hunting and automation to improve efficiency and effectiveness. Qualification : Bachelors degree in Cybersecurity, Computer Science, Information Technology, or related field

Senior Backend Engineer Market Making Location: Bangalore Experience: Senior-level Education: Advanced degree in Computer Science, Mathematics, or a related field About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the fragmented digital asset market. Our platform provides seamless access, liquidity, and trading tools for institutional clients, enabling strategies from start to scale. Team Overview The Quant Team at FalconX is divided into three verticals: Services: Focused on complex pricing, risk management methodologies, and execution for our OTC desks. Options Market Making (MM): Provides market-making for derivatives, either as a service or as business owners. D1 Team: Quantitative traders providing market-making services while managing discretionary risk for linear products. Role Overview As a Senior Backend Engineer on the Market Making team, you will develop and enhance backend systems that provide critical tools, insights, and infrastructure for pricing, risk management, and trading operations. You will work closely with traders, quants, product managers, and trade operations teams to deliver robust, scalable, and high-performance applications. Key Responsibilities Build and maintain backend infrastructure to support pricing and risk management methodologies for complex and new products. Develop fundamental models in support of the quant team s three verticals. Collaborate with cross-functional teams including design, product management, traders, and quants to deliver scalable and efficient solutions. Solve technically challenging problems of high scope and complexity. Contribute to innovative products in the crypto derivatives space, such as correlation exotics and missing data volatility pricing. Ensure high-quality, maintainable code with strong testing, monitoring, and documentation practices. Required Qualifications Advanced degree in Computer Science, Mathematics, or related field. Proficiency in Python, with experience in a low-level language (C/C++/Rust) preferred. Familiarity with distributed systems and scalable architectures. Understanding of derivative products and risk management frameworks. Strong grasp of data structures, algorithms, and design patterns. Excellent problem-solving skills, with a detail-oriented and collaborative mindset. Strong communication skills and ability to work in a fast-moving, agile environment. Comfortable contributing to early-stage product development in a startup setting. Bonus / Preferred Qualifications Experience with exotic products and derivatives. Risk management and portfolio management experience. Knowledge of numerical methods, optimization, and modeling techniques. Familiarity with frontend frameworks such as React. Help make crypto assets a successful asset class for institutional investors. Provide critical tools and infrastructure that shape trading strategies and pricing models. Collaborate with top talent in trading, quant research, and technology. Work on some of the most innovative products in the crypto derivatives space. Qualification : Advanced degree in Computer Science, Mathematics, or a related field

Application Support Engineer I Location: Bangalore Experience: Up to 2+ Years About Tekion Tekion is revolutionizing the automotive industry with the first cloud-native automotive platform, transforming an ecosystem that hasn t seen major innovation in over 50 years. Our Automotive Retail Cloud (ARC), Automotive Enterprise Cloud (AEC), and Automotive Partner Cloud (APC) connect OEMs, dealerships, consumers, and partners through one seamless platform. Leveraging big data, AI, and machine learning, Tekion delivers the best automotive retail experiences across North America, Asia, and Europe. Role Overview We are looking for an enthusiastic Application Support Engineer I who loves challenges, enjoys problem-solving, and is passionate about delivering exceptional customer experiences. You will act as a subject matter expert in your domain, supporting our dealership clients, coordinating technical issues, and ensuring the support team follows processes and delivers solutions effectively. Key Responsibilities Take ownership of customer-reported issues and ensure problems are resolved end-to-end. Research, diagnose, troubleshoot, and identify solutions to resolve system and application issues. Follow standard escalation procedures for unresolved issues and coordinate with internal teams. Understand applications both functionally and technically. Use internal databases and external resources to provide accurate technical solutions. Ensure all issues are properly logged and tracked. Prioritize and manage multiple open issues simultaneously. Prepare accurate and timely reports on support activities. Document technical knowledge in notes, manuals, and knowledge bases. Support rotational shifts as required. Required Skills & Experience 0 2+ years of experience in application, production, or product support. Advanced knowledge of SQL, MongoDB, and basic network configurations. Strong understanding of databases, APIs, and coding fundamentals. Ability to learn and master company-specific software. Strong problem-solving skills and attention to detail. Excellent written and verbal communication skills. Ability to diagnose and address application-related issues effectively. Understanding of IoT and software systems is a plus. Be the first point of contact for dealership clients, ensuring their technical issues are resolved quickly. Play a key role in improving customer satisfaction by providing accurate and timely solutions. Contribute to a knowledge-sharing culture through documentation and process improvements. Work in a collaborative, agile environment alongside cross-functional teams on challenging projects.

Business Application Engineer (NetSuite Developer) Location: Bangalore About Tekion Tekion is disrupting the automotive industry with the first cloud-native platform connecting OEMs, dealerships, technology partners, and consumers. Through ARC, AEC, and APC, Tekion delivers seamless, AI-driven digital experiences across the automotive ecosystem. The company employs ~3,000 people across North America, Asia, and Europe and focuses on innovation, efficiency, and a collaborative culture. Role Overview Tekion is seeking a skilled Business Application Engineer / NetSuite Developer to support and optimize enterprise systems, including NetSuite (ERP), Zip (procurement orchestration), and Concur (expense management). You will troubleshoot issues, maintain integrations, and enhance system performance to ensure seamless workflows across Finance, Procurement, and IT teams. Key Responsibilities Provide Tier 1 3 support for NetSuite, Zip, and Concur users across departments. Troubleshoot system issues, perform root cause analysis, and implement solutions. Maintain and enhance integrations between NetSuite, Zip, and Concur using APIs or middleware. Create and manage saved searches, reports, dashboards, and workflows in NetSuite. Support procurement workflows and vendor onboarding in Zip. Administer Concur configurations, including expense policies, user roles, and audit rules. Collaborate with Finance, Procurement, and IT teams to gather requirements and implement system improvements. Document system configurations, processes, and support procedures. Coordinate with vendors and third-party consultants as needed. Qualifications Bachelor s degree in Information Systems, Computer Science, or related field. 3+ years of experience supporting NetSuite ERP. Experience with Zip procurement platform and SAP Concur. Familiarity with SuiteScript, SuiteFlow, and SuiteTalk for NetSuite customization. Strong understanding of financial processes: procure-to-pay, expense reporting, and general ledger. Excellent problem-solving, communication, and multitasking skills. Ability to manage multiple priorities in a fast-paced, high-growth environment. Preferred Qualifications NetSuite Certifications: SuiteFoundation, SuiteCloud Developer, or Administrator. Experience with NetSuite ARM (Advanced Revenue Management) and SuiteBilling. Knowledge of NetSuite OneWorld (multi-entity, multi-currency, global tax setup). Experience with middleware tools: Dell Boomi, Celigo, or MuleSoft. Familiarity with SOX compliance and audit controls. Experience in SaaS or high-growth environments. Qualification : Bachelors degree in Information Systems, Computer Science, or related field

Customer Support Engineer I CRM Location: Bangalore About Tekion Tekion is transforming the automotive retail industry with the first cloud-native platform, including: Automotive Retail Cloud (ARC) for dealerships and retailers Automotive Enterprise Cloud (AEC) for manufacturers and large enterprises Automotive Partner Cloud (APC) for technology and industry partners The platform leverages Big Data, Machine Learning/AI, and IoT to deliver seamless, intuitive solutions connecting OEMs, dealers, and consumers. Tekion employs ~3,000 people globally and emphasizes innovation, entrepreneurial spirit, and collaboration. Role Overview As a Customer Support Engineer I CRM, you will provide end-to-end customer support for Tekion s cloud platform. You will be responsible for resolving technical issues, documenting solutions, and ensuring an excellent customer experience. Core Responsibilities Take ownership of customer-reported issues and see them through to resolution. Research, diagnose, troubleshoot, and identify solutions to system issues. Follow standard procedures for proper escalation of unresolved issues to internal teams. Understand the application both functionally and technically. Reference internal databases and external resources to provide accurate technical solutions. Ensure all issues are properly logged in the system. Prioritize and manage multiple open issues simultaneously. Prepare accurate and timely reports. Document technical knowledge in the form of notes, manuals, and guides. Required Skills Experience as an Application, Product, or Customer Support Engineer. Ability to quickly learn and master employer-specific software. Strong problem-solving skills for complex technical issues. Excellent written and verbal communication skills. Ability to diagnose and address application issues efficiently. Basic understanding of IoT and software (preferred but not mandatory). Comfortable working rotational shifts. Hands-on experience with chat or ticketing tools for customer interaction.

Front End Engineer (React) Location: Bengaluru Job Type: Full-time About the Role We are seeking a curious and motivated Frontend Software Engineer to join our team at Intellicar. You will be part of our groundbreaking IoT platform and various applications that handle billions of data points every day. You will design and develop innovative, intuitive interfaces that bring complex functionalities to life. The platform you build will provide novel functionality to millions of IoT customers and users. We prioritize scalability, performance, flexibility, security, and simplicity in everything we do. If you are excited about working in a fast-paced environment and want to dive into the exponentially growing EV and IoT industry, this is the place for you! Responsibilities Web Application Development Design and build top-tier web applications using JavaScript (React preferred), HTML, CSS, and D3.js. Application Architecture Architect scalable, modular, and high-performance front-end applications and frameworks. Maintainability & Testing Ensure application stability, maintainability, and usability through test-driven development and rigorous testing practices. Modernization & Efficiency Champion efforts to modernize the development process and identify opportunities for improved team efficiency. Collaboration Provide technical expertise and work closely with product and project stakeholders throughout the development lifecycle. Qualifications Education: Bachelor s degree in Computer Science, Engineering, or relevant experience. Experience: Minimum of 5 years of professional experience in front-end development. Technical Skills: Strong proficiency in JavaScript (5+ years), React.js (3+ years), HTML, CSS, and D3.js. Experience with modern build systems and cloud APIs (e.g., Google Maps) is a plus. Working knowledge of SQL database design is preferred. Communication: Excellent written and verbal communication skills. Life at Intellicar At Intellicar, we foster a continuous learning environment that encourages skill development and skill porting. We offer plenty of opportunities for growth, and many of our developers have been mentored to become tech leads. Our culture is rooted in respect and collaboration, where every team member is encouraged to contribute ideas. Benefits include: Health and wellness programs Self and dependent insurance Unlimited Parle-G and Chai :) Qualification : Bachelors degree in Computer Science, Engineering, or relevant experience

Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.

Staff Engineer, Solutions Automation (NMS/SMx) Location: Bangalore Type: Full-Time Experience Required: 12+ Years (QA Lead/Architect Level) The Opportunity: Strategic Quality Architect We are seeking a Staff Engineer to act as the technical architect for Solution Test Automation of our Network Management System (SMx). This senior individual contributor role requires a rare blend of deep L2/L3 networking expertise and proficiency in modern AI-driven automation. You will drive the vision for product quality, mentor a growing team, and solve the complex challenges of testing fiber-optic and telecom infrastructures. Technical Expertise & Domain Depth Networking & Fiber Optics: L2/L3 Protocols: Strong mastery of OSPF, BGP, ISIS, VLAN, and VRF. Network Protocols: Expert knowledge of Ethernet, TCP/IP, and SNMP. Optical Technology: Familiarity with GPON and XGSPON technologies and telecom network devices. Automation Stack: Framework Architecture: Advanced proficiency in Robot Framework, PYART, and Playwright. Programming: Expert Python skills for developing maintainable scripts and custom libraries. Modern Tooling: Experience implementing AI-based GUI testing and visual validation tools. CI/CD & DevOps: Integration of automated suites into Jenkins/GitLab CI using Docker/Kubernetes. Key Responsibilities Engineering Leadership & Mentorship: Team Guidance: Mentor junior automation engineers, conduct rigorous code reviews, and foster a high-performance culture. Project Ownership: Drive the end-to-end automation lifecycle from test strategy and environment planning to advanced results analytics. Cross-functional Alignment: Partner with Product Management and Dev teams to triage issues and align quality goals with release schedules. Innovation & Domain Application: Scenario Design: Leverage domain expertise to simulate realistic network topologies and complex customer use cases. Process Optimization: Champion the transition from manual efforts to high-efficiency automation by refining methodologies and frameworks. Troubleshooting: Resolve complex issues related to Optical Communication and Network Management Systems. What You Bring Proven Track Record: 12+ years in QA/Automation with significant experience in NMS/EMS or complex enterprise applications. Educational Background: Bachelor s or Master s in Computer Science, Telecommunications, or a related field. Certifications (Preferred): CCNA, CCNP, or ISTQB Advanced Test Manager. Soft Skills: Exceptional ability to simplify complex technical networking concepts for diverse stakeholders. Qualification : Bachelors or Masters in Computer Science, Telecommunications, or a related field

Senior Software Engineer (Backend) Location: Bengaluru Hiring is still rooted in outdated processes manual screening, unconscious bias, long feedback cycles, and excessive administrative overhead. Organizations spend more time managing hiring than discovering real talent. At Talview, we re changing that with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy The world s first AI Proctoring Agent. Ivy A conversational AI Interviewer transforming first-round screenings. Our impact: 10M+ assessments delivered across 120+ countries. The Role We are looking for a Senior Software Engineer (Backend) to build high-performance systems. You will work across Talview s backend ecosystem including PostgreSQL, Redis, AWS Lambda, GraphQL, Hasura, Temporal, and microservices to deliver secure, reliable, and globally scalable solutions. What You ll Do Design and operate scalable microservices supporting millions of assessments. Monitor and optimize system performance and efficiency. Own backend services end-to-end from development to maintenance. Collaborate with Frontend, QA, Product, and Customer Success teams. Solve engineering challenges directly impacting platform stability. You Might Be a Fit If You Have Required Qualifications: 4 6 years of backend engineering experience, primarily with Node.js. Deep understanding of OOP, design patterns, and SOLID principles. Experience with unit, integration, and functional testing. Strong knowledge of distributed systems and SQL (PostgreSQL). Working knowledge of Docker, Kubernetes, and microservices. Familiarity with: Time-series & Messaging: InfluxDB, Prometheus, Kafka, RabbitMQ, SQS. Caching & Frameworks: Redis, Hasura, Apollo. Cloud: AWS S3, Azure Blob. Bonus Points: Experience in SaaS or high-scale product environments. Hands-on experience with AI-assisted coding tools (Cursor, Windsurf, etc.). Understanding of Agile/Scrum methodologies. Our Culture: The 5Cs We re driven by Collaboration, Commitment, Credence, Customer-centricity, and Candor. We work together, ship quality, and communicate openly. What You Get Competitive compensation and best-in-class hardware. Flexibility: 5-day work week and flexible hours. Growth: Accelerated career paths in a fast-scaling organization. Perks: Stocked pantry, monthly lunches, and annual offsites.

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

Principal Systems Development Engineer Thermal Controls Location: Bengaluru, India Team: Systems Development Engineering Company: Dell Technologies Role Overview As a Principal Systems Development Engineer specializing in Thermal Controls, you ll lead the design and validation of advanced cooling algorithms for Dell s server products, especially those geared towards AI, HPC, and enterprise applications. Your role bridges hardware, firmware, and software to deliver efficient, reliable thermal management systems and uncover innovation opportunities. Key Responsibilities Design, document, implement, and validate thermal control algorithms in collaboration with Dell s global systems management software and thermal teams. Debug and validate thermal control features on live server hardware. Set up and operate servers with varying configurations to test thermal control functionality. Diagnose and route field issues, contributing to resolution strategies. Develop or enhance automation tools to support thermal design and validation workflows. Essential Requirements 5+ years of industry experience in: Mechatronics Thermal controls Electronics cooling Hardware/firmware debugging Strong programming skills in Python, C, or similar languages. Familiarity with server systems: BIOS, CPLD, BMC, device drivers. Proficiency in Linux OS and strong understanding of general OS principles. Excellent debugging, problem-solving, and communication skills. Desirable Qualifications Bachelor s or Master s degree in: Computer Engineering Mechanical Engineering with a focus on controls or mechatronics Experience designing and implementing electronic cooling solutions (hardware to firmware). Proficiency with CAD tools (especially CREO) for mechanical and thermal design. You ll work on thermal control systems that enable the latest in AI and high-performance computing, shaping the future of Dell s data center and server technologies. Dell s engineering culture offers hands-on collaboration, career development, and the opportunity to lead innovations at the intersection of hardware, firmware, and software.

Subsurface AI Specialist Location: Bengaluru, India Company: Chevron Experience: 5+ Years Focus Areas: AI, Machine Learning, Subsurface Data Analysis, Oil & Gas Position Overview The Subsurface AI Specialist will design and implement AI solutions using advanced analytics, modeling, and machine learning to optimize subsurface exploration and production. This role enhances decision-making, automates workflows, and improves resource extraction processes. Key Responsibilities Design and implement AI solutions for subsurface exploration and production. Identify AI opportunities to improve decision-making and automate workflows. Collaborate with Chevron subsurface practitioners and IT teams to deploy innovative AI solutions. Communicate AI value propositions to stakeholders. Ensure ethical AI usage and compliance with data privacy regulations. Analyze and interpret subsurface data to support resource management and decision-making. Key Skills & Qualifications Bachelor s or Master s degree in Geosciences, Petroleum Engineering, Computer Science, or related field. Minimum 5 years of hands-on experience in AI solution development for complex business problems. Knowledge of the oil and gas value chain (upstream, midstream, downstream). Strong background in machine learning, data science, and AI technologies. Proficiency in programming languages such as Python, C++, and cloud AI/ML services like Azure and Databricks. Preferred Qualifications Experience with Agentic AI. Benefits Competitive salary and benefits package Health, dental, and vision insurance Retirement savings plan Paid time off, including vacation and sick leave Opportunities for professional development Apply Now If you are passionate about AI and innovation in the energy sector, apply today to join Chevron's Subsurface team! Equal Opportunity Statement Chevron is an equal opportunity employer, committed to diversity and inclusion in the workplace. Qualification : Bachelors or Masters degree in Geosciences, Petroleum Engineering, Computer Science, or related field.

Lead Cloud Engineer HPC (High Performance Computing) Location: Bengaluru, India Company: Chevron Experience Level: 5 10 Years Department: IT Cloud Engineering Work Mode: Hybrid (Global Operations Support) About the Role Chevron is seeking a Lead Cloud Engineer HPC to deliver next-generation High Performance Computing (HPC) infrastructure and application solutions. This position plays a key role in supporting compute-intensive workloads such as geophysics, reservoir simulations, AI/ML models, and parallel file systems, with a focus on cloud-native solutions and low-latency architectures. This role is ideal for someone experienced in cloud engineering, Linux system administration, and HPC architecture. Key Responsibilities Design, deploy, and support HPC environments for compute-intensive workloads. Configure and manage HPC job scheduling systems (e.g., Slurm, PBS). Implement and maintain parallel file systems such as Lustre. Manage Azure-based cloud infrastructure using VM Scale Sets. Collaborate with data scientists and developers to optimize infrastructure. Leverage Ansible, Satellite, and Python for automation. Optimize low-latency networks for distributed computing. Modernize HPC architecture with an eye on cost control and performance. Required Qualifications Bachelor s degree in Computer Science, Information Systems, or related field. 5 10 years of experience in: Linux system administration in a large-scale environment Microsoft Azure, including VM Scale Sets HPC job schedulers Slurm, PBS Parallel file systems Lustre Automation tools Ansible, Satellite, Python Supporting compute-heavy scientific/engineering applications Understanding of storage systems, networking, and performance tuning in HPC. Willingness to support global operations and participate in after-hours support. Preferred Skills Experience deploying HPC workloads in hybrid cloud environments. Familiarity with reservoir simulation or geophysical applications. Knowledge of security compliance and cost optimization in HPC/cloud. Working Hours Chevron supports global operations. Work hours may be aligned across international teams: Standard Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Benefits & Perks Competitive compensation package Health, life, and accident insurance Flexible work schedule and hybrid options Professional development and certification support Work on cutting-edge HPC and AI infrastructure Equal Opportunity Employer Chevron is committed to a diverse and inclusive workforce. All qualified applicants will receive consideration without regard to race, gender, religion, sexual orientation, nationality, age, or disability. Chevron participates in E-Verify in applicable regions. Apply Now If you re passionate about building scalable HPC infrastructure in the cloud, apply now to join Chevron s Cloud Engineering team in Bengaluru. Qualification : Bachelors degree in Computer Science, Information Systems, or related field.

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

Our Company At Adobe, we're changing the world through digital experiences. We empower everyone from emerging artists to global brands with everything they need to design and deliver exceptional digital experiences. We're passionate about helping people create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We are on a mission to hire the very best talent and are committed to creating exceptional employee experiences where everyone is respected and has equal access to opportunity. New ideas can come from anywhere, and the next big idea could be yours! About the Team The Adobe Content Platform and Collaboration (ACPC) group is building a highly scalable and available content platform for Adobe s SaaS offerings, running on Amazon AWS. We're pushing the future of SaaS development by leveraging the latest technology stacks and design thinking. Our dedicated team of developers is building low-latency, cloud-scale foundational components such as Cache, Storage, Databases (SQL and NoSQL), Queuing, Pub/Sub, etc., to create a standard for developing, deploying, operating, and governing Adobe SaaS solutions, catering to millions of requests every day. What the Team Does: We love writing software. We love solving complex problems with simple, elegant designs. We build the platform using modern container orchestration technologies. We take a long-term architectural approach, ensuring that the platform supports both current and future needs of all Adobe services. We use best-in-class tools like GitHub, Slack, and any tools that help us stay productive. We are committed to adapting our processes to meet evolving needs. We trust each other to do our jobs exceptionally well. What You ll Do: Design and develop one or more services/components within the platform. Take responsibility for the full lifecycle of the project from user story to design, development, testing, documentation, and maintenance. As a senior team member, you will be responsible for setting code guidelines for the rest of the team. Adhere to standard software engineering practices. Collaborate in a highly dynamic, ever-evolving environment. Work with geographically distributed teams. Mentor junior team members to help them grow and improve. What You Need to Succeed: B.Tech/M.Tech in Computer Science (or equivalent experience) with an excellent academic record. 5 to 8 years of software development experience, primarily in backend systems. Proficiency in data structures and algorithms. Expertise in Java and related technologies (e.g., Spring Boot). Proven experience in designing, building, evolving, and maintaining large-scale, complex software projects. Self-starter with an ability and eagerness to learn new technologies and adapt quickly. Proven experience in developing scalable Cloud-based services on AWS/Azure. Strong programming and problem-solving skills. Good written and verbal communication skills. Strong team player who thrives in a collaborative environment. Experience with Agile development practices. Prior experience with MySQL, Redis, Cassandra, DynamoDB, Kafka will be a bonus. Pure Innovation: We celebrate critical thinkers who embrace challenges and aspire to innovate. Pure Growth: At Adobe, you have the space to grow and contribute meaningfully to something impactful. Pure Team: We build each other up and set aside egos for the greater good. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by law. Qualification : B. Tech and/or M. Tech in Computer Science with excellent academic record, or equivalent experience

CPU Performance Engineer Company Arm Location Bengaluru Job Overview At Arm, we are building the Future of Computing. Achieving generational performance gains requires deep understanding of the core, microarchitecture, system-level details, and the workloads that run on them. We are seeking a highly motivated and skilled engineer to drive analysis, characterization, and deep understanding of complex infrastructure workloads. This is a versatile and high-visibility role requiring collaboration with global teams including hardware architects, software engineers, and toolchain experts. Your work will help shape the next-generation CPU microarchitecture through comprehensive workload performance analysis. Responsibilities Perform performance analysis and characterization of complex infrastructure workloads to identify software and microarchitectural improvements for next-generation processors/systems. Analyze CPU performance, power, and cost while identifying key technology challenges and opportunities for innovation. Collaborate with Arm architects to develop technologies that contribute to maintaining a best-in-class compute systems roadmap. Develop expertise in the competitive landscape and emerging technologies in areas such as infrastructure, computer vision, and machine learning. Required Skills and Experience Strong knowledge and experience in CPU architecture and microarchitecture, gained through development, research, or performance analysis/modeling/design. Ability to break down workload performance into insights spanning software (applications, toolchain, libraries) and CPU/system microarchitecture. Proven ability to work effectively both independently and as part of geographically distributed teams across multiple functional groups. Innovative mindset with a strong drive to explore new approaches, influence stakeholders through detailed investigation, and solve challenging technical problems. Bachelor s or Master s degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis. Nice-To-Have Skills and Experience Experience in CPU performance analysis and/or modeling. Background in workload analysis, characterization, and/or optimization of open-source software. Understanding of CPU infrastructure architectures and system-level constraints. Hands-on experience with advanced CPU techniques such as branch prediction and prefetching. Comfort working with emerging technologies and staying current with research advancements. Track record of influencing product roadmaps and delivering innovative solutions through prototypes and empirical analysis. What Arm Offers Arm provides an exceptional collaborative environment, offering exciting challenges and career growth opportunities. If you are interested but feel you don t meet every requirement, we encourage you to apply we value diverse skills and innovative thinking! #LI-KR2 Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis.

Minimum Qualifications: Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience. 3 years of experience with systems automation and tooling using Python, Go, or any other programming language. 3 years of experience in managing technical infrastructure (e.g., deployment, maintenance, troubleshooting). 3 years of experience in Linux Internals, Networking, and Systems administration. Preferred Qualifications: 6 years of experience in implementing, troubleshooting, and supporting computing systems. Experience with DevOps tools such as Terraform, Puppet, Ansible, Jenkins. Experience with cloud provider ecosystems of cloud service providers. Experience in supporting large-scale complex cloud-based infrastructure. Experience in one of the High Performance Computing (HPC) Schedulers such as LSF, Symphony, NC, or SLURM. Excellent investigative, problem-solving, and communication skills. About the Job: Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don t just write code to fix bugs but emphasize the development of tools and solutions that fix classes of problems. We know it s hard to control what you can t measure so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments, and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters. Google brings together people with a wide variety of backgrounds, experiences, and perspectives. We encourage them to collaborate, think big, and take risks in a blame-free environment. We promote self-direction to work on meaningful projects while striving to create an environment that provides the support and mentorship needed to learn and grow. Together we engineer and build the infrastructure, tools, access, and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. In this role, you will be responsible for building and operating the underlying foundation infrastructure used for designing custom silicon. This includes compute platforms, CI/CD, Cloud, groups and Access Control Lists (ACLs), source control, dashboards, resource economy, and bench labs used by silicon engineers in their daily work. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities: Ensure the timely delivery of silicon designs using Google Cloud Platform (GCP) within a fluid environment. Monitor and uphold high standards for internal services on Google Cloud. Provide support, maintain, and deploy team-supported infrastructure and documentation. Collaborate closely with engineering teams to implement and develop on Google Cloud infrastructure. Automate tasks wherever needed. Qualification : Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

Meet the Team As a Technical Lead, you will drive technical excellence across HPC infrastructure, network automation, DevOps practices, and SRE principles while leading architecture decisions and guiding teams in implementing high-performance solutions for AI/ML workloads on various network topologies. This role combines deep technical expertise with leadership responsibilities, focusing on system architecture, automation, reliability engineering, and development excellence. Your Impact Design and implement end-to-end automation solutions for HPC infrastructure (Compute, network, and storage) using Kubernetes operators, Terraform, and Ansible. Analyze compute, storage, and network traffic patterns during distributed training/inference operations across different AI/ML frameworks. Monitor and optimize network utilization patterns for various model architectures. Identify bottlenecks in network communication patterns. Perform root cause analysis across network, compute, and storage layers, with experience handling various failure scenarios and recovery procedures. Make architectural decisions and drive innovation. Develop infrastructure patterns for different workload types. Provide benchmarking and performance engineering leadership. Mentor junior engineers through architecture reviews and code critiques. Design and implement comprehensive telemetry collection systems for monitoring high-speed network microburst behavior. Develop sophisticated visualization tools and analytics frameworks to enable real-time identification of performance bottlenecks and system constraints, facilitating rapid optimization and troubleshooting. Minimum Qualifications Demonstrated expertise in distributed systems and infrastructure design (compute, storage, and networking). Experience with network automation tools and configuration management (Ansible, Python, Golang, YAML, YANG). Strong background in CI/CD, GitOps, or similar practices and tools. Expert-level experience with observability platforms and practices. Strong background in implementing distributed tracing, metrics collection, and log aggregation systems. Demonstrated experience in at least one completed performance benchmarking project for distributed systems, storage, network, and compute. Preferred Qualifications Bachelor s degree in Computer Science, Software Engineering, or a related technical field with 15-20 years of extensive hands-on experience in distributed systems development and DevOps practices. An advanced degree is a plus. Contributions to open-source projects related to distributed systems or performance engineering. Experience in analyzing and documenting system performance metrics across network, compute, and storage layers. Prior experience mentoring and developing technical talent. Understanding of AI/ML infrastructure and any prior experience with RDMA, RoCE v2 will be an added advantage. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Qualification : Bachelors degree in Computer Science, Software Engineering, or a related technical field with 15-20 years of extensive hands-on experience in distributed systems development and DevOps practices. An advanced degree is a plus.

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. Innovate With Ansys, Power Your Career. Summary / Role Purpose The Senior Application Engineer is responsible for leveraging their experience, subject matter expertise, and customer-relationship skills to assist in growing our software business by proactively helping customers deploy ANSYS technology to deliver on their key business initiatives. This role is focused on the Automotive Industry for applications like crashworthiness, occupant, and pedestrian safety. Key Duties and Responsibilities Collaborate with Sales to create solutions to complex customer problems using LS-DYNA and other Ansys structural simulation software. Support Automotive customers in developing methods for crash and safety-related simulation. Present ANSYS value proposition to executive-level audiences. Lead high-profile business development projects and analysis of complex technical problems. Provide best practices to help customers derive more value from ANSYS solutions. Participate in internal corporate initiatives for product enhancement, consulting, and training. Minimum Education / Certification Requirements and Experience BS in engineering or a related technical discipline. Minimum 5 years of experience in automotive crash-related simulation. Knowledge of LS-DYNA and other Ansys tools. Understanding of Euro-NCAP, G-NCAP, and Bharat N-CAP simulation implementations. Experience in durability, full vehicle crash simulation, dummy positioning, airbag modeling. Strong fundamentals in Structural Mechanics, FEA, Non-Linear Materials, and Dynamics. Strong project management skills, ability to work with cross-functional teams. Preferred Qualifications and Skills MS or PhD in Engineering is preferred. Customer service mindset with a passion for excellence. Ability to travel up to 25%. At Ansys, We Operate as ONE Ansys We fuel new ideas, build relationships, and help each other realize our greatest potential. Our Commitments: Amaze with innovative products and solutions. Make our customers incredibly successful. Act with integrity. Ensure employees thrive and shareholders prosper. Our Values: Adaptability: Be open, welcome what s next. Courage: Move forward passionately. Generosity: Share, listen, serve. Authenticity: Be you, make us stronger. Our Actions: We commit to audacious goals. We work seamlessly as a team. We demonstrate mastery. We deliver outstanding results. Inclusion is at Our Core We believe diverse thinking leads to better outcomes. We are committed to creating a workplace where diversity, inclusion, equity, and belonging thrive. Welcome What s Next in Your Career at Ansys At Ansys, you will work alongside visionary leaders to change the world with innovative technology. We push the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost. At Ansys, it s about learning, discovery, and collaboration. It s about the "what s next" as much as the "mission accomplished." It s about forging innovation in an environment built on respect, autonomy, and ethics.

About Ansys For over 50 years, Ansys has been at the forefront of innovation, enabling companies across industries to push boundaries through the predictive power of simulation. From sustainable transportation to life-saving medical devices, our solutions help bridge the gap between design and reality. At Ansys, we empower our employees to turn visionary ideas into reality. Join us and shape the future of simulation technology! Role Overview As a Senior R&D Engineer, you will join the SeaScape Research and Development team, working on cutting-edge semiconductor analysis software. You will contribute to the development of ANSYS RedHawk-SC, the industry s first EDA solution built on the SeaScape Elastic Compute Architecture, designed to handle massive datasets and distributed computing. This role requires strong C++ programming skills, problem-solving abilities, and a solid foundation in semiconductor design. Key Responsibilities Software Development & Optimization Design, develop, and optimize high-performance software for semiconductor analysis. Write efficient, scalable, maintainable, and robust code in C++. Implement unit, regression, and system-level tests to ensure high-quality code. Diagnose and fix complex software issues. Collaboration & Process Adherence Work closely with technical leads, engineers, and managers to refine and improve solutions. Learn and follow best practices in software engineering and semiconductor design. Communicate effectively within the team to ensure smooth collaboration. EDA & Semiconductor Analysis Develop expertise in IC Layout specification formats (Oasis, GDS). Work on parasitic extraction, gate/transistor-level design, and power analysis. Optimize EDA software for large-scale simulations and distributed computing. Required Qualifications & Skills Education & Experience: Bachelor s or Master s degree in Computer Science, Electrical/Electronics Engineering, or a related field. 4-6 years of experience in a product-based company. Technical Expertise: Proficiency in C++ for high-performance computing. Strong knowledge of data structures, algorithms, and debugging. Experience working with Linux operating systems. Basic understanding of IC layout specifications (Oasis, GDS). Familiarity with gate-level and transistor-level electronic design. Soft Skills: Ability to learn quickly and work in a fast-paced environment. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications (Nice to Have) EDA & Semiconductor Analysis: Experience with parasitic extraction for advanced semiconductor nodes. Knowledge of transistor-level simulation and gate-level power analysis. Familiarity with IC physical design and RTL optimization. High-Performance Computing & Distributed Processing: Experience with distributed processing, debugging, and optimization. Knowledge of AI/ML, GPU architectures, CUDA, and vectorization libraries (Google Highway). Experience with high-bandwidth networking (InfiniBand). Software Development & Automation: Experience in commercial software development, build automation, and testing. Work on Industry-Leading Technology Build next-gen EDA and semiconductor simulation software. Career Growth Be part of an innovative, research-driven environment. Collaborate & Innovate Work alongside industry experts in high-performance computing & semiconductor analysis. Inclusive & Diverse Culture We believe diverse thinking leads to better outcomes. At Ansys, we commit to excellence, integrity, and innovation Together, we power the future of simulation. Apply Now & Be a Part of Ansys' Innovation Journey!