Senior Applied Research Engineer, Accelerator Algorithms at NVIDIA (Bengaluru)

Job Description

NVIDIA is hiring a Senior Applied Research Engineer for accelerator algorithms in Bengaluru to study real autonomous-vehicle and physical-AI workloads, find those that suit its Programmable Vision Accelerator (PVA), and turn them into optimised algorithms that shape future PVA hardware and software.

At a glance

• Role: Senior Applied Research Engineer, Accelerator Algorithms
• Location: Bengaluru
• Experience: 12+ years in applied research, accelerator algorithms, computer architecture or HPC
• Focus: workload characterisation and algorithm design for the PVA
• Requisition: JR2021373
• Apply: open until filled (re-checked 12 October 2026)

What you will do

• Research and characterise real-world AV and physical AI workloads, including multimodal sensor processing, perception, sensor fusion and real-time control loops
• Develop and optimise PVA algorithms using instruction-level parallelism, memory-aware scheduling, efficient data movement and vectorised execution
• Turn workload insights into requirements for PVA hardware, compilers, SDKs, profiling tools and systems software
• Build prototypes, benchmarks and performance models across current and future hardware
• Use AI-assisted development tools and agentic workflows to speed up analysis, algorithm creation and benchmarking
• Work with internal teams and customers to integrate PVA-accelerated algorithms into products, and publish or present findings where appropriate

Several NVIDIA roles in Bengaluru centre on the Programmable Vision Accelerator (PVA), which the postings describe as a power-efficient, deterministic VLIW/SIMD processor used across NVIDIA’s DRIVE, Jetson and IGX platforms. Work on it spans algorithms, compilers, SDKs and future hardware.

What NVIDIA is looking for

• A BS, MS or PhD in computer science, electrical or computer engineering, robotics or a related field, or equivalent experience
• 12+ years 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 optimisation
• Experience with HW/SW co-design, workload characterisation, performance modelling and bottleneck analysis
• Familiarity with physical AI workloads such as VLA models, multimodal perception, sensor processing, autonomous systems or robotics
• Strong C++, Python, CUDA or similar, and clear communication of technical trade-offs

Nice to have

• CUDA, ROS/ROS 2, AV or robotics middleware, and heterogeneous compute pipelines
• A research track record in computer architecture, autonomous systems or sensor processing
• Safety standards such as ISO 26262 or IEC 61508

Pay and location

NVIDIA’s posting does not state a salary. The role is based in Bengaluru.

How to apply

Apply through the official NVIDIA job posting. NVIDIA’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 12 October 2026. Check the posting for location and work-authorisation details before you apply.

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