Roblox

1 month ago

Principal Software Engineer, GPU Compute

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead GPU compute strategy and architecture for a scalable, production-grade GPU and AI accelerator stack. Architect GPU host lifecycle, driver/firmware management, and integration with Kubernetes for GPU workloads; drive reliability and performance across a growing fleet; onboard new GPU platforms and define APIs and tooling to enable safe, efficient consumption by other teams.

Location: San Mateo

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Serve as the GPU technical leader for the Compute team, partnering across Kubernetes, Machine Bootstrap, Networking, and Cloud to drive GPU strategy end to end.
•Own the GPU host lifecycle above raw fleet management: driver, firmware, and CUDA stack management, GPU health and telemetry, and remediation of GPU-specific failures (XID errors, ECC, thermal, NVLink and fabric faults).
•Architect how GPU capacity is exposed to compute platforms, including scheduling, isolation, and integration with Kubernetes for GPU and AI workloads.
•Drive GPU reliability and performance at fleet scale, defining the detection, diagnosis, and automated repair of unhealthy accelerators before they impact production.
•Evaluate and onboard new GPU and AI accelerator platforms, networking topologies (NVLink, InfiniBand, RoCE), and multi-node training and inference patterns.

Pay and Benefits

Salary: USD 345,040 - 399,420 annually

Equity and Bonus:Equity

Key Requirements

•10+ years of experience building and operating large-scale distributed systems and infrastructure.
•Deep, hands-on GPU expertise at the machine management layer and above: GPU host provisioning, driver and firmware lifecycle, GPU health and reliability, and the realities of running accelerators in production.
•A track record as an expert for compute, not just fleet management, with the scars to prove you have scaled GPU or accelerator infrastructure that other teams depend on.
•Strong proficiency in Go or other well-structured programming languages.
•Experience operating GPU and AI workloads in production, including familiarity with CUDA, GPU scheduling, and high-performance networking (NVLink, InfiniBand, RoCE).

Experience:10+ yearsInfrastructureDistributed systemsGPU compute

Skills:GoCUDAKubernetesNVLinkInfiniBandRoCEBMCIPMIRedfishOS imaging

Languages:English

Tech Stack:GoCUDAKubernetesNVLinkInfiniBandRoCEBMCIPMIRedfishOS imaging

Company Brief

Roblox

Operates an online platform for user-generated games and virtual experiences, enabling creators to build, publish, and monetize interactive 3D experiences for a global community of players.

Industry: Gaming

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Mateo, United States

Founded: 2004

Website LinkedIn

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Roblox

1 month ago

Principal Software Engineer, GPU Compute

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: San Mateo

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Serve as the GPU technical leader for the Compute team, partnering across Kubernetes, Machine Bootstrap, Networking, and Cloud to drive GPU strategy end to end.
•Own the GPU host lifecycle above raw fleet management: driver, firmware, and CUDA stack management, GPU health and telemetry, and remediation of GPU-specific failures (XID errors, ECC, thermal, NVLink and fabric faults).
•Architect how GPU capacity is exposed to compute platforms, including scheduling, isolation, and integration with Kubernetes for GPU and AI workloads.
•Drive GPU reliability and performance at fleet scale, defining the detection, diagnosis, and automated repair of unhealthy accelerators before they impact production.
•Evaluate and onboard new GPU and AI accelerator platforms, networking topologies (NVLink, InfiniBand, RoCE), and multi-node training and inference patterns.

Pay and Benefits

Salary: USD 345,040 - 399,420 annually

Equity and Bonus:Equity

Key Requirements

•10+ years of experience building and operating large-scale distributed systems and infrastructure.
•Deep, hands-on GPU expertise at the machine management layer and above: GPU host provisioning, driver and firmware lifecycle, GPU health and reliability, and the realities of running accelerators in production.
•A track record as an expert for compute, not just fleet management, with the scars to prove you have scaled GPU or accelerator infrastructure that other teams depend on.
•Strong proficiency in Go or other well-structured programming languages.
•Experience operating GPU and AI workloads in production, including familiarity with CUDA, GPU scheduling, and high-performance networking (NVLink, InfiniBand, RoCE).

Experience:10+ yearsInfrastructureDistributed systemsGPU compute

Skills:GoCUDAKubernetesNVLinkInfiniBandRoCEBMCIPMIRedfishOS imaging

Languages:English

Tech Stack:GoCUDAKubernetesNVLinkInfiniBandRoCEBMCIPMIRedfishOS imaging

Company Brief

Roblox

Operates an online platform for user-generated games and virtual experiences, enabling creators to build, publish, and monetize interactive 3D experiences for a global community of players.

Industry: Gaming

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Mateo, United States

Founded: 2004

Website LinkedIn