Senior HPC Engineer
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
Offer value
This engineering role provides a dynamic environment with opportunities to engage directly with clients and leads in solving complex AI/HPC challenges.
- Salary range competitive within AI/HPC fields
- Engage in transformative client projects
- Development of problem-solving and interpersonal skills
Pros
- Good salary range reflective of industry standards.
- Direct impact on transformative AI and HPC systems.
- Engagement with cutting-edge technologies and customer interactions.
Cons
- Requires strong interpersonal skills not typically present in back-end focused roles.
- Variable workload depending on customer needs could disrupt balance.
- May require travel or high responsiveness to client demands.
Who it's for
Mid to Senior • On-site / Hybrid possible
Good fit
- Mid to senior engineers with strong Linux knowledge.
- Individuals with specific HPC deployment expertise.
- Customer-focused roles in AI technology.
Not recommended for
- Entry-level candidates without substantial experience.
- Individuals avoiding customer interactions.
- Those focused on purely software engineering without practical application.
Motivation fit
Key skills
About the job
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is looking for a Senior AI/HPC Engineer to join its infrastructure Specialist team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic, customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners, and internal teams to analyse, define, and implement large-scale AI/HPC projects. The scope of these efforts includes a combination of Networking, System Design, and Automation, and being the face to the customer.
What you will be doing:
Primary responsibilities will include deploying, managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers.
Be the domain expert with customers during planning calls through implementation.
Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!
Provide feedback into internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
What we need to see:
Bachelor's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience.
4+ years providing in-depth support and deployment services, solving problems for hardware and software products.
Knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network routing/advanced networking (tuning and monitoring).
Cluster management technologies.
Scripting proficiency.
Good interpersonal skills with the ability to maintain and deliver resolutions for customer-blocking issues as they arise. Excellent verbal and written English skills.
Strong organizational skills and ability to prioritize/multi-task easily with limited supervision.
Industry-standard Linux certifications.
Experience with Schedulers such as SLURM, LSF, UGE, etc.
Ways to stand out from crowd:
InfiniBand or Ethernet Experience.
Experience with GPU-focused hardware/software.
Experience with MPI.
Automation tooling background (Ansible, Salt, Puppet etc.).
knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous manager who loves a challenge? Are you ready to become the staff member you always wanted to be? Come and be part of the best SW design team in the industry!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
