What are the responsibilities and job description for the GPU Systems Engineer – HPC / Parallel Computing position at Vast.ai?
About Us
Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.
We are a small, growing, and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly to the company's mission. Leadership is earned by those who show initiative and deliver excellence.
We seek engineers/researchers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of excellent research, coding, and communication skills.
LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.
About the Role
We're looking for a systems engineer with HPC or parallel programming experience to help scale AI inference. You'll leverage your knowledge of high-performance systems to optimize GPU performance at the bleeding edge of AI.
CUDA/C , GPGPU, Python, Linux
Key Responsibilities
After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages:
Annual Salary Range
$160,000 – $320,000 equity benefits
Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential.
Benefits
Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.
We are a small, growing, and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly to the company's mission. Leadership is earned by those who show initiative and deliver excellence.
We seek engineers/researchers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of excellent research, coding, and communication skills.
LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.
About the Role
We're looking for a systems engineer with HPC or parallel programming experience to help scale AI inference. You'll leverage your knowledge of high-performance systems to optimize GPU performance at the bleeding edge of AI.
- Full-Time
- On-site at either our SF or LA offices
CUDA/C , GPGPU, Python, Linux
Key Responsibilities
- Design and optimize GPU kernels and tensor libraries
- Translate HPC techniques into scalable AI inference solutions
- Evaluate emerging architectures and resource management approaches
- Collaborate with technical leadership to improve GPU infrastructure efficiency
- Advanced C (C 17/20 preferred)
- Expertise with at least one parallel framework (CUDA, HIP, SYCL, OpenCL, OpenACC, or similar)
- Strong background in systems optimization and HPC performance tooling
- Familiarity with distributed training/inference frameworks (bonus)
After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages:
- Initial screening (virtual, 15 minutes)
- Quick dive into Vast, systems and architectures (virtual, 30 minutes)
- LLM-assisted coding assessment (virtual, 1 hour)
- Meet and greet with coding assessment (on-site, 2 hours)
Annual Salary Range
$160,000 – $320,000 equity benefits
Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential.
Benefits
- Comprehensive health, dental, vision, and life insurance
- 401(k) with company match
- Meaningful early-stage equity
- Onsite meals, snacks, and close collaboration with founders/tech leaders
- Ambitious, fast-paced startup culture where initiative is rewarded
Salary : $160,000 - $320,000