NVIDIA

1 day ago

Senior Software Engineer - Applied Research in Robotics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 58 minutes agoStatus: Live

Job Summary

Research, prototype, and optimize robotics solutions accelerated with NVIDIA’s Programmable Vision Accelerator (PVA). Identify high-impact end-to-end robotics workloads, map them to efficient PVA execution, and improve latency, determinism, power efficiency, and throughput. Work across perception, planning, and actuator paths while designing PVA operators, parallelization and data-movement strategies, benchmarks, validation infrastructure, and C/C++ acceleration code to support robotics teams adopting PVA.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Research and analyze end-to-end robotics software stacks to discover, characterize, and prioritize high-impact workloads for acceleration on PVA.
•Design, implement, test, and optimize PVA operators and integrate them into end-to-end real robotics pipelines.
•Research parallelization and data-movement strategies to map robotics algorithms efficiently onto PVA.
•Evaluate end-to-end robotics paths across camera, RADAR, LiDAR, IMU, perception, planning, and actuation to meet timing constraints and real-time execution needs.
•Build benchmarks and validation infrastructure, write maintainable C/C++ code and documentation, and collaborate with robotics, hardware, compiler, and system/platform teams on acceleration strategies.

Key Requirements

•BS/MS or PhD in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or equivalent experience.
•5+ years of experience in robotics software, embedded systems, accelerated computing, computer vision, sensor processing, perception systems, or related areas.
•Strong robotics algorithm knowledge, including practical understanding of perception, sensor fusion, control, planning, or actuator pipelines.
•Strong C/C++ skills for low-level debugging, performance profiling, optimization, and production-quality software development.
•Experience mapping algorithms onto heterogeneous hardware (CPUs, GPUs, DSPs, SIMD/VLIW processors, or accelerators) and deep understanding of embedded systems, SoC architecture, and real-time constraints.

Experience:5+ yearsRoboticsEmbedded systemsAccelerated computingComputer visionSensor processingPerception systems

Education:Master's

Skills:CommunicationCollaborationAnalyticalProblem-solving

Tech Stack:CC++VLIWSIMDPVAProgrammable Vision AcceleratorNVIDIA DRIVENVIDIA JetsonNVIDIA IGXCamera processingRADARLiDARIMUHeterogeneous computingCPUsGPUsDSPsSIMD/VLIW processorsDomain-specific acceleratorsEmbedded Linux

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 day ago

Senior Software Engineer - Applied Research in Robotics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 58 minutes agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Research and analyze end-to-end robotics software stacks to discover, characterize, and prioritize high-impact workloads for acceleration on PVA.
•Design, implement, test, and optimize PVA operators and integrate them into end-to-end real robotics pipelines.
•Research parallelization and data-movement strategies to map robotics algorithms efficiently onto PVA.
•Evaluate end-to-end robotics paths across camera, RADAR, LiDAR, IMU, perception, planning, and actuation to meet timing constraints and real-time execution needs.
•Build benchmarks and validation infrastructure, write maintainable C/C++ code and documentation, and collaborate with robotics, hardware, compiler, and system/platform teams on acceleration strategies.

Key Requirements

•BS/MS or PhD in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or equivalent experience.
•5+ years of experience in robotics software, embedded systems, accelerated computing, computer vision, sensor processing, perception systems, or related areas.
•Strong robotics algorithm knowledge, including practical understanding of perception, sensor fusion, control, planning, or actuator pipelines.
•Strong C/C++ skills for low-level debugging, performance profiling, optimization, and production-quality software development.
•Experience mapping algorithms onto heterogeneous hardware (CPUs, GPUs, DSPs, SIMD/VLIW processors, or accelerators) and deep understanding of embedded systems, SoC architecture, and real-time constraints.

Experience:5+ yearsRoboticsEmbedded systemsAccelerated computingComputer visionSensor processingPerception systems

Education:Master's

Skills:CommunicationCollaborationAnalyticalProblem-solving

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor