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Supercomputer Jobs (NOW HIRING)

asrcfh

Computer Operator, Linux

Mountain View, CA · On-site

$24.04/hr

ASRC Federal InuTeq is seeking an on-site Control Room Analyst in Mountainview, CA to support the NASA Advanced Supercomputing (NAS) facility, home to some of the world's fastest supercomputers ...

Etched

Supercomputing Engineer (Network)

San Jose, CA · On-site

$150K - $275K/yr

Job Summary We are seeking highly motivated and skilled Supercomputing Engineers (Network) to join our team. This team plays a critical role in developing, qualifying, and optimizing high-performance ...

Etched

Technical Recruiter (Supercomputing/ML)

San Jose, CA · On-site

$100K - $220K/yr

Job Summary As we scale, we're looking for a Technical Recruiter (Supercomputing/ML) to build and own some of the most high-leverage, relationship-driven parts of our recruiting function. This role ...

Etched

Supercomputing Engineer (Test)

San Jose, CA · On-site

$150K - $275K/yr

Job Summary We are seeking highly motivated and detail-oriented Supercomputing Engineer (Test) to join our team. This team plays a critical role in ensuring the reliability and stability of our ...

Alembic

Patent Counsel

San Francisco, CA · On-site

$175K - $200K/yr

The technical demands were so extreme we literally melted GPUs building this, which is why we're now operating one of the world's fastest private supercomputers. Backed by $145M from Prysm Capital ...

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Supercomputer information

What are the key skills and qualifications needed to thrive in the Supercomputer position, and why are they important?

To thrive as a Supercomputer Engineer, you need expertise in high-performance computing (HPC), computer architecture, parallel programming, and advanced mathematics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as MPI, OpenMP, Linux systems, and certifications like Certified HPC Professional can be critical. Strong problem-solving abilities, collaboration, and communication skills set exceptional candidates apart in multidisciplinary environments. These competencies are essential for building, optimizing, and managing supercomputing resources that drive scientific discovery and innovation.

What are the typical responsibilities of a Supercomputer Engineer on a daily basis?

Supercomputer Engineers are responsible for designing, configuring, and maintaining high-performance computing systems to support complex computations in fields such as scientific research, weather modeling, and data analytics. On a daily basis, they might monitor system performance, troubleshoot hardware or software issues, optimize code for scalability, and collaborate closely with researchers and IT professionals to ensure workloads run efficiently. Additionally, they often assist in upgrading systems and implementing the latest technologies to maximize computational power. Working in this role offers opportunities for ongoing professional development and cross-functional teamwork, making each day both challenging and rewarding.

What is a Supercomputer job?

A Supercomputer job typically involves working with high-performance computing (HPC) systems to process complex calculations at extremely high speeds. Professionals in this field may develop software, optimize system performance, manage hardware infrastructure, or support scientific and engineering research. These roles are common in fields such as climate modeling, artificial intelligence, biomedical research, and financial simulations.

More about Supercomputer jobs
What cities are hiring for Supercomputer jobs? Cities with the most Supercomputer job openings:
What are the most commonly searched types of Supercomputer jobs? The most popular types of Supercomputer jobs are:
What states have the most Supercomputer jobs? States with the most job openings for Supercomputer jobs include:
What job categories do people searching Supercomputer jobs look for? The top searched job categories for Supercomputer jobs are:
Supercomputer jobs near you
Infographic showing various Supercomputer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

Software Engineer, Supercomputing

Thinking Machines Lab

San Francisco, CA • On-site

$350K - $475K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 2 days ago

Job description

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.
About the Role
We're looking for an engineer to design, build, and operate the GPU supercomputing environment that powers large-scale training and inference. You will deliver high-performant, reliable, and cost-efficient compute so our users and researchers can move fast at scale.
Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.
What You'll Do
  • Operate and automate large GPU clusters including provisioning, imaging, and capacity planning.
  • Write software that abstracts cluster management and presents a unified interface for training and inference.
  • Extend scheduling/orchestration (Kubernetes, Slurm, or similar) for topology-aware placement, preemption, quotas, and fair-share multi-tenancy.
  • Monitor and improve operational metrics of speed, reliability, and error recovery.
  • Build reliable storage and artifact paths for datasets, checkpoints, and logs with clear retention and lineage.
  • Partner with researchers to unblock scale runs and advise on parallelism and performance trade-offs.
Skills and Qualifications
Minimum qualifications:
  • Bachelor's degree or equivalent experience in computer science, engineering, or similar.
  • Proficiency in at least one backend language (we use Python or Rust).
  • Experience operating large-scale clusters and container orchestration systems (e.g. Kubernetes or Slurm).
  • Comfort operating across the stack and owning projects end-to-end.
  • Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
  • A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.

Preferred qualifications - we encourage you to apply if you meet some but not all of these:
  • Strong systems background: Linux, networking, and infrastructure-as-code.
  • Familiarity with CUDA/NCCL and performance profiling for distributed training/inference.
  • Prior work supporting large-scale model training or inference environments.
  • Understanding of deep learning frameworks (e.g., PyTorch, TensorFlow, JAX) and their underlying system architectures.
  • Track record of working in fast-paced environments balancing care with urgency.
Logistics
  • Location: This role is based in San Francisco, California.
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.

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