NVIDIA

1 month ago

Senior Software Engineer, AI Networking

✓ 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

Lead the transformation of AI networking systems for NVIDIA, architecting and delivering hardware-accelerated software solutions for BlueField DPU and ConnectX. Drive engagements with hyperscalers, partner cross-functionally to shape features and architecture, and push performance and reliability improvements across customer stacks to influence the product and roadmap.

Location: Austin, Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Establish yourself as a technical specialist in AI networking products, specifically the BlueField DPU and ConnectX product lines. Architect, design, and develop innovative, scalable, and high-performance hardware-accelerated software solutions.
•Lead deep technical engagements with hyperscalers, involving design-in, coding, bring-up, performance tuning, failure analysis, and production hardening.
•Partner with internal engineering, product, and architecture teams to transform customer needs into product features, reference architectures, tooling, and guidelines.
•Drive performance, reliability, and debuggability improvements across customer stacks and translate findings into actionable product, firmware, and software roadmap items.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•A Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience)
•8+ years of relevant industry experience, including technical leadership across complex systems
•Deep knowledge of networking protocols and distributed systems, with a strong understanding of RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs
•Proven low-level software expertise with proficiency in C/C++ and comfort debugging across firmware, driver, OS, and application
•Demonstrated experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management

Experience:8+ yearsNetworkingHigh Performance ComputingAI

Education:Bachelor's

Skills:CommunicationLeadershipCollaboration

Tech Stack:CC++RDMADPDKDOCANCCLCUDABlueFieldConnectXRoCEInfiniBandFirmware

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 month ago

Senior Software Engineer, AI Networking

✓ 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: Austin, Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Establish yourself as a technical specialist in AI networking products, specifically the BlueField DPU and ConnectX product lines. Architect, design, and develop innovative, scalable, and high-performance hardware-accelerated software solutions.
•Lead deep technical engagements with hyperscalers, involving design-in, coding, bring-up, performance tuning, failure analysis, and production hardening.
•Partner with internal engineering, product, and architecture teams to transform customer needs into product features, reference architectures, tooling, and guidelines.
•Drive performance, reliability, and debuggability improvements across customer stacks and translate findings into actionable product, firmware, and software roadmap items.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•A Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience)
•8+ years of relevant industry experience, including technical leadership across complex systems
•Deep knowledge of networking protocols and distributed systems, with a strong understanding of RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs
•Proven low-level software expertise with proficiency in C/C++ and comfort debugging across firmware, driver, OS, and application
•Demonstrated experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management

Experience:8+ yearsNetworkingHigh Performance ComputingAI

Education:Bachelor's

Skills:CommunicationLeadershipCollaboration

Tech Stack:CC++RDMADPDKDOCANCCLCUDABlueFieldConnectXRoCEInfiniBandFirmware

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