Senior Applied Research Engineer, Accelerator Algorithms

NVIDIA
Bengaluru
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Experience: 12+ yearsEducation: mastersSkills: ["Communication","Technical judgment","Ownership","Ability to operate in ambiguous problem spaces"]

Drive applied research and algorithm architecture for NVIDIA’s Programmable Vision Accelerator (PVA), analyzing real-world AV and physical AI workloads from multimodal sensing through perception, sensor fusion, and real-time control. Prototype and optimize accelerator-friendly algorithms using instruction-level parallelism, vectorized execution, and memory-aware scheduling. Translate workload insights into requirements for PVA hardware, compilers, SDKs, profiling tools, and systems software—then partner to integrate PVA-accelerated algorithms into production products.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Applied Research Engineer, Accelerator Algorithms

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Last checked: 15 hours agoStatus: Live

Job Summary

Drive applied research and algorithm architecture for NVIDIA’s Programmable Vision Accelerator (PVA), analyzing real-world AV and physical AI workloads from multimodal sensing through perception, sensor fusion, and real-time control. Prototype and optimize accelerator-friendly algorithms using instruction-level parallelism, vectorized execution, and memory-aware scheduling. Translate workload insights into requirements for PVA hardware, compilers, SDKs, profiling tools, and systems software—then partner to integrate PVA-accelerated algorithms into production products.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key 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.
  • •Partner with internal teams and customers to integrate PVA-accelerated algorithms into final products and communicate technical findings appropriately.

Key Requirements

  • •BS/MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or 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.
  • •Strong programming skills in C++, Python, CUDA, or similar environments.
Experience:12+ yearsRoboticsAutonomous systemsHigh-performance computingComputer architecture
Education:Master's in Computer Science, Electrical Engineering, Computer Engineering, or Robotics (or related field)
Skills:CommunicationTechnical judgmentOwnershipAbility to operate in ambiguous problem spaces
Tech Stack:NVIDIA Programmable Vision Accelerator (PVA)VLIWSIMDDSPVLA modelsMultimodal perceptionSensor processingSensor fusionReal-time control loopsC++PythonCUDAROSROS2Fixed-point arithmeticMemory hierarchyHW/SW co-designBenchmarkingPerformance modelingProfiling tools

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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