NVIDIA

3 weeks ago

Senior Software Engineer, Low Latency Physical AI Sensor Systems

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Design and build low-latency data pipelines and system software that stream sensor data into GPU memory for real-time AI. Develop and optimize drivers, APIs, and integration for diverse sensors within the Holoscan Sensor Bridge ecosystem. Work across FPGA interfaces, networking (including RDMA), and CUDA/application frameworks to debug and optimize distributed real-time systems under strict latency and throughput constraints.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and build high-performance, low-latency sensor-to-GPU data pipelines (including RDMA, Ethernet, and GPUDirect).
•Develop and optimize system software, drivers, and APIs for sensor integration and streaming.
•Work across the stack from FPGA interfaces and networking protocols to CUDA and application frameworks.
•Enable seamless integration of diverse sensors into the Holoscan ecosystem.
•Debug and optimize real-time distributed systems under strict latency and throughput constraints while collaborating with hardware, firmware, and AI teams.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Key Requirements

•BS or MS in Computer Science, Computer Engineering, or related field, or equivalent experience.
•8+ years of experience in systems programming (C/C++/Python) and Linux internals.
•Deep understanding of networking (TCP/UDP, RDMA, kernel bypass, high-throughput systems).
•Experience with real-time operating systems or low-latency systems.
•Familiarity with hardware/software interfaces (PCIe, DMA, FPGA, SPI, I2C, I2S) and strong debugging across multi-component systems.

Experience:8+ yearsRoboticsHealthcareIndustrial automationReal-time systemsDistributed systemsEdge computingHigh-speed data acquisition

Education:Bachelor's in Computer Science, Computer Engineering

Skills:DebuggingCross-functional collaborationPerformance optimization

Tech Stack:CC++PythonLinuxTCPUDPRDMAKernel bypassEthernetGPUDirectCUDAFPGAPCIeDMASPII2CI2SReal-time operating systemsDistributed systemsEdge computing

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

3 weeks ago

Senior Software Engineer, Low Latency Physical AI Sensor Systems

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and build high-performance, low-latency sensor-to-GPU data pipelines (including RDMA, Ethernet, and GPUDirect).
•Develop and optimize system software, drivers, and APIs for sensor integration and streaming.
•Work across the stack from FPGA interfaces and networking protocols to CUDA and application frameworks.
•Enable seamless integration of diverse sensors into the Holoscan ecosystem.
•Debug and optimize real-time distributed systems under strict latency and throughput constraints while collaborating with hardware, firmware, and AI teams.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Key Requirements

•BS or MS in Computer Science, Computer Engineering, or related field, or equivalent experience.
•8+ years of experience in systems programming (C/C++/Python) and Linux internals.
•Deep understanding of networking (TCP/UDP, RDMA, kernel bypass, high-throughput systems).
•Experience with real-time operating systems or low-latency systems.
•Familiarity with hardware/software interfaces (PCIe, DMA, FPGA, SPI, I2C, I2S) and strong debugging across multi-component systems.

Experience:8+ yearsRoboticsHealthcareIndustrial automationReal-time systemsDistributed systemsEdge computingHigh-speed data acquisition

Education:Bachelor's in Computer Science, Computer Engineering

Skills:DebuggingCross-functional collaborationPerformance optimization

Tech Stack:CC++PythonLinuxTCPUDPRDMAKernel bypassEthernetGPUDirectCUDAFPGAPCIeDMASPII2CI2SReal-time operating systemsDistributed systemsEdge computing

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