Full-Time

Senior Software Engineer

HPC

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$152k - $241.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Austin, TX, USA + 2 more

More locations: Santa Clara, CA, USA | Durham, NC, USA

Hybrid

Hybrid role; some on-site presence required.

Category
Software Engineering (1)
Required Skills
Microsoft Azure
Elixir
Python
Java
Infrastructure as Code (IaC)
AWS
Go
Scala
Observability
C/C++
DevOps
Google Cloud Platform

Get referred to NVIDIA

See people who can refer or advise you

Requirements
  • Strong coding skills in at least two of: Go, Java, C/C++, Scala, Python, Elixir, with a focus on backend, systems, or infrastructure engineering.
  • Deep understanding of scalability, consistency, and performance trade-offs in server-side systems; ability to build horizontally scalable, resilient, and low-latency services.
  • Experience owning services end-to-end: architecture, build reviews, implementation, testing, rollout, observability, and iterative improvement.
  • Hands-on experience with at least one major cloud provider (GCP, AWS, or Azure) and cloud-native primitives (managed storage, messaging, compute).
  • Proficiency with modern CI/CD, GitOps workflows, and Infrastructure as Code practices for safe, repeatable changes.
  • Bias for action, strong problem-solving skills, and a track record of simplifying complex systems.
  • B.S. in Computer Science or related field (or equivalent experience), with 5+ years of relevant experience.
  • Careful communication and collaboration skills; comfortable guiding technical decisions across teams.
Responsibilities
  • Apply modern distributed systems patterns to push the limits of scale, latency, and reliability.
  • Continuously improve infrastructure provisioning and operations with automation, APIs, and self-service platforms.
  • Operate in a globally distributed, hybrid multi-cloud environment (AWS, GCP, on-prem), building systems that are cloud-native and location-agnostic.
  • Build strong cross-functional relationships and align with collaborators across various business units.
  • Improve uptime and Quality of Service (QoS) through data-driven operations, strong SLOs, and robust incident practices.
  • Participate in the team’s on-call rotation and lead high-impact incident response when needed.
Desired Qualifications
  • Prior experience building core infrastructure or control planes for HPC clusters, large-scale AI/ML platforms, or systems managed by job schedulers (e.g., Slurm or Kubernetes).
  • Maintainer or co-maintainer responsibilities for an open source component used in production (plugins, operators, exporters, controllers, or SDKs) at large scale.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Get referred to NVIDIA

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Rubin delivers 5x faster inference and 3.5x faster training than Blackwell starting H2 2026.
  • Major hyperscalers Microsoft, AWS, Google Cloud, and CoreWe confirmed Vera Rubin implementation ahead of Q3 2026.
  • Rubin Ultra targets 15 ExaFLOPS FP4 inference with 1.5 PB/s NVLink bandwidth per rack in 2027.

What critics are saying

  • HBM4 scarcity from SK Hynix and Micron forces Rubin production cut to 1.5M units in 2026.
  • Kyber NVL144 rack delayed to 2028 due to TSMC 78-layer PCB yield failure, breaking annual cadence.
  • Rubin Ultra cuts HBM4E stacks to 12-Hi, delivering only 2.66x instead of 4x performance gain.

What makes NVIDIA unique

  • Vera Rubin is a six-chip extreme codesigned AI supercomputer platform, not just a GPU.
  • NVIDIA shifted to annual architecture cadence with Rubin, Ultra, and Feynman releases through 2028.
  • Vera CPU with 88 ARM cores enables per-GPU efficiency and 1/10 Blackwell operational costs.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

-3%
LinkedIn
Jun 19th, 2026
LinkedIn

This link will take you to a page that’s not on LinkedIn

Mistral AI
May 28th, 2026
Mistral AI raises $1.9B at $13.2B valuation, led by ASML to advance frontier AI research

Mistral AI has raised €1.7 billion in a Series C funding round at an €11.7 billion post-money valuation. The round was led by semiconductor equipment manufacturer ASML Holding, with participation from existing investors including DST Global, Andreessen Horowitz, Bpifrance, General Catalyst, Index Ventures, Lightspeed and NVIDIA. The Paris-based AI company will use the funding to advance its scientific research and develop custom decentralised frontier AI solutions for complex engineering and industrial problems. ASML CEO Christophe Fouquet said the partnership aims to generate benefits for ASML customers through AI-enabled products and solutions. Mistral AI CEO Arthur Mensch stated the investment will help address engineering challenges in the semiconductor and AI value chain whilst maintaining the company's independence.

Decart
May 18th, 2026
Decart Raises $300M: Tech Leaders Back the Company as Both Customers and Investors | Decart AI

With funding led by Radical Ventures, Decart is building the infrastructure layer for the next generation of low-latency AI systems, through three product lines: DOS, an ultra-optimized inference and training stack that enables agents and reasoning models to run smarter and faster; and the models Lucy, its World Model for Immersive Experiences; and Oasis, its World Model for Physical AI – both powered by DOS. Today, we’re also announcing DOS 2.0, with new versions of Lucy and Oasis launching in the coming weeks.

The Associated Press
Apr 15th, 2026
Matlantis integrates NVIDIA ALCHEMI Toolkit for 10x faster materials simulation

Matlantis has integrated NVIDIA's ALCHEMI Toolkit into its materials simulation platform to accelerate industrial materials discovery. The company previously incorporated NVIDIA Warp-optimised kernels, achieving up to 10x speed improvements in atomistic calculations. The integration includes LightPFP, Matlantis' lightweight potential for large-scale simulations, which uses a server-based architecture with NVIDIA ALCHEMI Toolkit-Ops to reduce communication bottlenecks. Matlantis plans to integrate its flagship Universal Machine-Learning Interatomic Potential with the toolkit to further enhance GPU efficiency. Launched in 2021, Matlantis is a cloud-based atomistic simulator jointly developed by PFN and ENEOS. The platform uses deep learning to increase simulation speeds by tens of thousands of times and serves over 150 companies discovering materials including catalysts, batteries and semiconductors.

CNBC
Apr 14th, 2026
Nvidia stock surges 18% on 10-day winning streak fuelled by $1T GPU orders through 2027

Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.