1 day ago
Santa Clara, CA, USASenior / Staff+
H1B sponsor
Base Salary
$152k - $288k/yr
Responsibilities
- Design, build, and deliver core components of next-generation productivity platforms.
- Develop reliable userspace infrastructure for long-running engineering workflows on bare-metal Linux hosts.
- Build state coordination over NFS, including atomicity, idempotency, deduplication, and partial-write recovery.
- Improve orchestration around IBM LSF, including submission, tracking, retries, cancellation, log capture, fairness, and backpressure.
- Modernize legacy codebases through incremental migrations such as Perl to Go, using stage gates, parity strategies, and observability.
- Debug and improve performance and reliability across Linux and Kubernetes, including operational tooling.
- Collaborate with engineering users to convert ambiguous workflows into durable production systems.
Requirements
- B.S. in Computer Science or Electrical Engineering, or equivalent experience.
- 5+ years developing and operating production software in Go and/or Python, ideally in large codebases.
- Strong Linux fundamentals, including processes, filesystems, permissions, synchronization, locks, concurrency, and debugging.
- Strong distributed-systems knowledge covering failures, retries, timeouts, backoff, idempotency, and operational rigor.
- Experience building long-runtime automation or services on shared compute clusters, batch schedulers, or build systems.
- Ability to translate high-level goals into safe delivery plans involving instrumentation, staged rollouts, and measurable outcomes.
- Hands-on experience with shared filesystems at scale, such as NFS, or coordination patterns on eventually consistent storage is preferred.
- Experience with batch job scheduling, shared compute fleets, build systems, incremental modernization, metadata optimization, incident debugging, root-cause analysis, remediation, and unfamiliar codebases is preferred.
Benefits
- Competitive salary, equity, and a generous benefits package.
- The base salary range is $152,000-$241,500 for Level 3 and $184,000-$287,500 for Level 4.
- Applications are accepted at least until October 10, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.