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Senior Applied Research Engineer, Accelerator Algorithms

NVIDIA· Engineer, Sys SW
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BengaluruFull-timePosted 3mo ago

About the role

Senior role focused on applied research and architecture for algorithms on NVIDIA’s Programmable Vision Accelerator (PVA) to accelerate AV, robotics, and physical AI workloads across multimodal sensor processing, perception pipelines, sensor fusion, and real-time control loops.

Responsibilities

  • Research and characterize real-world AV and physical AI workloads to identify algorithms that map well to PVA.
  • Develop and optimize PVA algorithms using instruction-level parallelism, memory-aware scheduling, efficient data movement and vectorized execution.
  • Translate workload and algorithm insights into requirements for PVA hardware architecture, compilers, SDKs, profiling tools, and systems software.
  • Build prototypes, benchmarks, and performance models to evaluate PVA algorithm performance across current and future hardware architectures.
  • Leverage modern AI-assisted development tools and agentic workflows to accelerate workload analysis, algorithm creation, benchmarking, and performance exploration.
  • Partner with internal teams and customers to understand their systems and production workloads, and drive integration of PVA-accelerated algorithms into final products to deliver real-world performance, power, and latency benefits.
  • Publish, present, and communicate technical findings across research and engineering teams where appropriate.

Qualifications

  • BS/MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related field, or equivalent experience.
  • 12+ years of experience in applied research, programmable accelerator algorithm design, computer architecture, or high-performance computing.
  • Experience with DSP, SIMD, VLIW, fixed-point arithmetic, memory hierarchy, and low-level performance optimization.
  • Experience with HW/SW co-design, workload characterization, performance modeling, benchmarking, and bottleneck analysis.
  • Familiarity with emerging physical AI workloads such as VLA models, multimodal perception, sensor processing, autonomous systems, or robotics systems.
  • Strong programming skills in C++, Python, CUDA, or similar environments.
  • Excellent communication skills and the ability to explain complex technical tradeoffs clearly.
  • Strong ownership, technical judgment, and ability to operate in ambiguous problem spaces.

Skills

Required:C++PythonCUDASystem architecture

Benefits

  • Competitive compensation and benefits (not itemized in description)
  • On-site work in Bengaluru, India
  • Exposure to cutting-edge programmable accelerators and hardware-software co-design
  • Collaborative cross-team environment
  • Opportunities to influence future hardware architecture and software tools
Last updated Jul 17, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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