# Senior Applied Research Engineer, Accelerator Algorithms

**Company**: NVIDIA
**Location**: Bengaluru
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/Senior-Applied-Research-Engineer--Accelerator-Algorithms_JR2021373?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_79e3614f-bd3

## Description

As the world's leading accelerated computing company, NVIDIA is seeking a Senior Applied Research Engineer, Accelerator Algorithms to drive applied research and architecture for algorithms on NVIDIA's Programmable Vision Accelerator (PVA).

In this role, you will analyze real-world AV and physical AI workloads, identify workloads well suited for the PVA, and translate them into optimized algorithms.

**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.

- Publish, present, and communicate technical findings across research and engineering teams.

**Requirements:**

- 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.

**Nice to Have:**

- Hands-on experience with CUDA, ROS/ROS2, AV or robotics middleware, sensor processing frameworks, profiling tools, and heterogeneous compute pipelines.

- Strong research track record in computer architecture, autonomous systems, or sensor processing.

- Familiarity with safety-conscious development processes such as ISO 26262, IEC 61508, or similar standards.

## Skills

### Required
- C++
- Python
- CUDA
- DSP
- SIMD
- VLIW
- fixed-point arithmetic
- memory hierarchy
- low-level performance optimization
- HW/SW co-design
- workload characterization
- performance modeling
- benchmarking
- bottleneck analysis

### Nice to have
- ROS/ROS2
- AV or robotics middleware
- sensor processing frameworks
- profiling tools
- heterogeneous compute pipelines
- ISO 26262
- IEC 61508

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/Senior-Applied-Research-Engineer--Accelerator-Algorithms_JR2021373?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)