Compression Jobs in Bengaluru

Video Editor Bengaluru | Design | Full-Time About Fam (formerly FamPay) Fam is India s first payments app built for users 11 years and above. From seamless UPI payments to the customizable FamCard, we re on a mission to empower over 250 million young Indians to start their financial journey early and smart. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors like Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels like Kunal Shah and Amrish Rao. About This Role We re on the hunt for a **Video Editor** who lives for storytelling through motion. If you re passionate about clean edits, eye-catching transitions, and thumb-stopping animations, you ll fit right in. You ll bring Fam s story to life across social media, product launches, ads, and more working closely with designers, marketers, and product teams. What You ll Do Edit compelling video content social clips, ads, explainers, and product demos. Create storyboards, style frames, and motion concepts. Design reels, GIFs, and short-form animations for platforms like **Instagram and YouTube Shorts**. Add music, sound design, voiceovers, and smooth transitions to elevate narratives. Simplify complex ideas with engaging motion design. Color-grade and polish videos for a cinematic look. Collaborate across teams to bring creative briefs to life. Ensure all content stays consistent with brand guidelines. Keep files and assets meticulously organized. Must-Haves 2-4 years of video editing and motion design experience (portfolio required!). Proficiency with Premiere Pro, After Effects, and Adobe Creative Suite. Strong sense of pacing, storytelling, and visual style. Experience creating content for Instagram, YouTube Shorts, and similar platforms. Comfortable with Figma, Rive, and animation tools like Lottie. Ability to manage multiple projects without missing deadlines. Organized file management skills. Team player who can also confidently work independently. Nice to Have Experience in fintech or fast-paced tech startups. Leadership experience on creative projects. Enthusiasm for AI tools and new creative workflows. Trend-savvy, meme-loving attitude. Be part of a vibrant, creative team shaping a fast-growing brand. Work on projects that reach and engage millions of **Gen Z users**. Enjoy creative freedom with room to experiment. Collaborate with passionate, talented teammates who value bold ideas. Access the latest tools and resources to sharpen your craft. Perks That Go Beyond the Paycheck Relocation assistance. Free office meals (lunch & dinner). Generous leave policies (birthday, period, paternity/maternity, and more). Salary advances and loan support. Quarterly rewards, recognition, and referral bonuses. Latest gadgets and tech. Comprehensive health insurance and mental health support. Tax benefits including food coupons, phone reimbursements, and leasing options. Retirement benefits: PF, gratuity, leave encashment. About FamApp FamApp champions financial inclusion for India s youth with UPI and card payments for ages 11+. Our flagship account, FamX, blends UPI and card payments, making money management easy, fun, and educational. With over **10 million users**, FamApp is revolutionizing how young Indians transact no more cash hassles, and full customization options to make payments personal and playful. Backed by top investors and powered by a mission-driven team, Fam is where innovation meets impact.

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Job Title: Senior Video Editor Location: Bengaluru, India Employment Type: Full-time We re building the future of real-world experiences. With $130M in revenue, guests in 100+ cities, and over 18 months of profitability, Headout is the fastest-growing travel marketplace globally. We've raised $60M+ from top-tier investors and are scaling rapidly. Our mission? To be the easiest, fastest, and most delightful way to head out to real-world experiences from tours and attractions to concerts and immersive events. We ve proven the model and built momentum now we re entering our most exciting growth phase. If you want your work to be seen by millions and shape a global brand at scale, there s no better time to join. The Role As **Senior Video Editor**, you ll be the creative engine behind Headout s most compelling video content transforming footage, animation, and sound into emotionally resonant stories across platforms. You ll own end-to-end production for a wide range of content formats, collaborate closely with the creative team, and play a key role in elevating Headout s visual identity globally. If you love storytelling, obsess over visual detail, and want to lead with innovation, this role is made for you. Creative storytelling at scale: Turn raw footage into captivating, scroll-stopping videos for YouTube, Reels, TikTok, and web. Full ownership: Take projects from concept to final delivery you ll have both creative freedom and accountability. Shape the brand: Be the voice behind how Headout tells stories visually, and elevate the video team s standards. AI meets creativity: Leverage the latest generative AI tools to push the boundaries of modern content creation. Collaboration meets leadership: Work with designers, scriptwriters, and content strategists, while also mentoring and leveling up those around you. What You ll Bring Editing Mastery Expert in Adobe Premiere Pro & After Effects Strong grasp of Photoshop/Illustrator Advanced color grading (DaVinci Resolve experience is a plus) Deep knowledge of sound design, transitions, pacing, and narrative flow Proven motion graphics experience Experience 1 5 years of professional editing experience A strong portfolio demonstrating work across platforms and formats long-form, shorts, motion graphics, social, etc. Strong storytelling instincts and creative problem-solving Leadership & Team Spirit High ownership mindset end-to-end responsibility from brief to delivery Experience mentoring teammates or leading video initiatives is a major plus Comfortable working in a fast-paced, collaborative creative environment Bonus Points Strong understanding of content strategy for social platforms (Instagram, YouTube Shorts, TikTok, etc.) Experience with generative AI tools: Midjourney, Runway ML, Krea AI, Kling, Hailuo, etc. Passion for travel, culture, or storytelling through real-world experiences What Success Looks Like Videos that not only look good, but perform well driving engagement, awareness, and conversions Smooth collaboration with design, marketing, and content teams Leading experimentation with new video formats, styles, and tools Raising the bar of craft and storytelling across all touchpoints Join Headout. Create content that travels the world and helps others do the same.

General Summary: Qualcomm is the industry leader in integrated chipsets that power advanced mobile devices. We are expanding our expertise in wireless technologies and advanced multimedia capabilities to continue delivering high-performance multimedia systems with low power consumption and competitive cost, while maintaining strong feature differentiation. Join Qualcomm India s Multimedia Systems Team and work at the cutting edge of performance modeling, system architecture, and evaluation of camera, video, and computer vision hardware IPs. This role offers the chance to collaborate on image signal processors (ISP), video codec hardware, and advanced algorithms for computer vision and image/video processing. Key Responsibilities: As part of the Systems and R&D team, your responsibilities may include the following: Design and maintain transaction-accurate/static models for multimedia IPs. Perform performance validation and debugging for pre- and post-silicon platforms. Conduct architecture analysis for system performance optimization. Define use-case flows for multimedia applications. Understand product features and assess their impact on system performance. Collaborate with the product marketing team to recommend feature support configurations for specific system setups. Minimum Qualifications: Bachelor s degree in Electrical Engineering, Computer Science, or a related field with 4+ years of relevant experience, or Master s degree with 3+ years of experience. Strong analytical and problem-solving skills with implementation experience. Solid understanding of SoC infrastructure (NoC, Memory Controller, DDR, QoS, MMU). Systems mindset with a focus on power and performance optimization. Experience in performance modeling/verification and debugging system performance issues. Proficiency in C, SystemC, and familiarity with UNIX/Win/Linux computing platforms. Preferred Qualifications: Background in system architecture, hardware IP micro-architecture, or embedded software/firmware. Experience in image/video signal processing. Knowledge of image sensor technology and codec standards. Educational Requirements: Required: Bachelor s degree in Computer Science or Electrical & Computer Engineering. Preferred: Master s degree in a related field. Qualification : Bachelors in Computer science or Electrica

Job Description You will be part of ACE India , in the P- Core design team driving Intel's latest CPU's in the latest process technology.As a DFT engineer Direct Responsibilities of the role, but not limited to: Working on various aspects of PCORE DFT including Spyglass DFT, RTL implementation, Verification, Scan, and ATPG. The candidate must be able to drive the DFT implementation for various features incl Scan, MBIST, TAP, etc. Previous experience working with manufacturing engineering, pattern delivery, and post-silicon support is a definite plus. Qualifications Candidate must possess a master's degree in Electronics or Computer Engineering with at least 5 or more years of experience or a bachelor's degree with at least 7 years of experience of DFT experience. Strong knowledge of ATPG, various fault models, fault grading. Knowledge of memory BIST, IJTAG/TAP architecture. DFT logic generation, integration, and verification. EDA vendor-supported scan architectures and tools, covering synthesis, timing, DRC, ATPG, GLS (Unit delay and Timing/SDF based), and tester bring up preferably Mentor/Siemens Tessent Shell, TestKompress, ATPG coverage debug Experience in Design Verification (DV) using standard simulators e.g. VCS, Verdi waveform viewer. Post Silicon/ATE Bring-Up Support. Experience with RTL (Verilog, System Verilog, VHDL). Inside this Business Group The Core and Client Development Group (C2DG) is a worldwide organization focused on the development and integration of SOCs, Core , and critical IPs that power Intel's leadership products, driving most of the Client roadmap for CCG, Delivering Server First Cores that enable continued growth for DCG and invest in future disruptive technologies. Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Qualification : Candidate must possess a master's degree in Electronics or Computer Engineering with at least 5 or more years of experience or a bachelor's degree with at least 7 years of experience of DFT experience.

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

About NVIDIA NVIDIA has continuously reinvented itself. From inventing the GPU, which sparked the growth of the PC gaming market and redefined modern computer graphics, to revolutionizing parallel computing, NVIDIA remains at the forefront of technological innovation. Today, NVIDIA GPUs power the world's most advanced AI research, providing highly scalable and massively parallel computational power. Join us and become part of a diverse, inclusive environment that encourages innovation and empowers everyone to do their best work. NVIDIA is an equal opportunity employer, and we are committed to building a diverse team and supporting your growth and success. About the Role DFT Engineer The Design-for-Test (DFT) Engineering team at NVIDIA is at the cutting edge of innovation, solving complex challenges in DFT architecture, verification, and post-silicon validation for some of the most advanced semiconductor chips in the industry. We are looking for a passionate DFT engineer to join our team and help shape the future of technology. What You ll Be Doing Design and implement state-of-the-art DFT features, including test access mechanisms, IO BIST, memory BIST, and scan compression. Verify and validate Scan ATPG and other DFT features, both in simulation and during silicon bring-up. Develop and deploy DFT methodologies for next-generation products, continuously improving DFT quality and efficiency. Collaborate with cross-functional teams to integrate DFT features into the overall chip design. Occasionally participate in travel and late-hour online meetings during critical project milestones. What We Need to See BSEE or MSEE from a reputable institution or equivalent experience. 2+ years of experience in DFT, ASIC design, or a related field. Strong understanding of static timing analysis, ECO, ASIC/logic design flow, HDL, and digital logic design. Experience in RTL and gate-level verification and simulation. Familiarity with BIST architecture, JTAG, and IEEE standards (1149.1/1500). Proficiency in Scan ATPG, compression techniques, and memory tests. Strong analytical and problem-solving skills. Scripting knowledge (Perl or Python) is essential. At NVIDIA, you'll have the opportunity to work on world-changing technology, be part of a diverse and innovative team, and experience continuous learning and growth. We strive to foster a culture of creativity, collaboration, and excellence in everything we do. #LI-Hybrid Qualification : BSEE or MSEE from reputed institutions or equivalent experience with 2+ years of experience

General Summary: Join the Qualcomm AI Systems Solution CoE (Center of Excellence) team to develop cutting-edge products and solutions leveraging Qualcomm s high-performance inference accelerators for cloud, edge, and hybrid AI applications. This role focuses on designing and delivering AI/ML system software solutions for diverse industries, including automotive, cloud, and industrial IoT. You will work on optimizing ML models (including GenAI, LLMs, LVMs, and LMMs) for deployment across a variety of devices, including phones, AI PCs, and edge appliances. This is your opportunity to contribute to Qualcomm s energy-efficient AI compute systems and collaborate with cross-functional teams to develop solutions that exceed industry standards. Key Responsibilities: Develop system solutions for AI/ML requirements, including model optimization, inference graph tuning, and scalable deployment across various devices. Work with deep learning frameworks like PyTorch, TensorFlow, and ONNX. Optimize AI/ML models using techniques such as quantization, pruning, and compression. Define and evaluate performance and accuracy metrics for neural network models, including CV, NLP, and multi-modal architectures. Collaborate across functional teams to ensure scalable, efficient deployments on inference accelerators and edge devices. Monitor and analyze industry trends and competitor toolchains to innovate and enhance system solutions. Develop and debug high-quality software in Python and C++, leveraging object-oriented design principles. Lead projects to improve toolchains and develop innovative product features. Required Skills and Experience: Hands-on experience with deep learning frameworks: PyTorch, TensorFlow, and ONNX. Strong understanding of model architectures (CV, NLP, LLMs, and multi-modal networks). Proficiency in Python and C++ (skill level: 7/10 or higher). Expertise in data structures and algorithms (skill level: 7/10 or higher). Experience in inference graph optimization, quantization-aware training, and deployment of AI/ML models. Knowledge of AI edge and server systems, infrastructure, and industry standards. Familiarity with ONNX Runtime, PyTorch runtime, and TensorFlow runtime. Experience in competitor toolchain surveys and emerging trends in AI/ML. Excellent debugging, analytical, and development skills. Desirable Skills: Experience with GPUs, machine learning accelerators, and related software. Familiarity with ML compilers like TVM, GLOW, and XLA. Hands-on use of version control tools like Git and GitHub. Knowledge of LLM fine-tuning and advanced training techniques. Qualifications: Bachelor s, Master s, or PhD degree in Engineering, AI/ML, Computer Science, or a related field. Work Experience: Bachelor s degree with 3+ years of relevant experience. Master s degree with 2+ years of relevant experience. PhD with 1+ year of relevant experience. Qualification : Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.