GPU Systems Engineer - HPC / Parallel Computing New
Vast.ai Inc.
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 growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out‑sized, and leadership is earned by shipping excellence. We seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of architecture, 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 Tech Stack 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 Ideal Experience 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) Interview Process 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) Our goal is to complete the interview process in two weeks. 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 #J-18808-Ljbffr Vast.ai Inc.
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...time. The demand for AI compute is boundless, and power... ...and experienced Systems Engineer II, Compute specializing... ...etc.) in cutting-edge AI/HPC environments. Kernel... ...quickly, eager to research new technology and not get... ...ML workloads, including GPU virtualization....Full timeTemporary work- Vast.ai Inc. is seeking a systems engineer with HPC or parallel programming experience to help scale AI inference. You will design and optimize GPU kernels and tensor libraries, leveraging CUDA/C++ and related frameworks to push the bleeding edge of AI performance. This...
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.... The demand for AI compute is boundless, and power... .../ Sustaining Engineer to strengthen Crusoe’s Hardware Systems Engineering team and... ...across Crusoe Cloud’s GPU- and CPU-based infrastructure... ...opportunities for new hardware... ...leverage them in AI/HPC environments. Expertise...Full timeTemporary work- Summary As a systems engineer, you’ll work on pioneering machine learning... ...large numbers of experiments in parallel across local and cloud GPUs,... ...cloud and physical GPU resources. Implementing a caching... ...the dream of the *personal* computer, where computers become...Remote jobLocal areaFlexible hours
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...Principal Systems Engineer – GPU Supercluster Bringup We are building AI infrastructure for frontier... ...of power, networking, and distributed compute. As a startup, we move fast, operate... ...experience in large-scale infrastructure or HPC environments. ~ Proven experience...Flexible hours- UCSF Health is seeking a Storage Systems Engineer (SYS ADM 4) to design, deploy and operate large-scale research storage and data infrastructure... ...team. The role ensures seamless integration with the CoreHPC compute cluster to enable performant and reliable data access for AI...
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...Responsibilities Scientific Computing & HPC Platform Engineering: Lead the architecture,... ...of on‑premise GPU clusters, hybrid cloud HPC... ...configurations (Slurm/LSF), parallel file systems, and interconnect optimization... ...‑buy recommendations for new platform capabilities. Participate...Local area- B Capital is seeking a Systems Engineer to join its Compute Platform team in San Francisco. This role involves maintaining a K8s-based platform and solving complex systems challenges, focusing on GPU infrastructures and multi-cloud environments. The ideal candidate has...
- ...Labs in San Francisco seeks engineers to join a senior team... ...engine, and focus on supporting new modalities and a variety of... ...deep understanding of how computers and modern language models... ...in writing high-performance GPU kernels or Rust systems programming. We welcome applications...Local area
$250k
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...hardcore and self‑motivated engineers, scientists, and operators who... ...will develop and own entire systems from design to deployment, playing... ...and device drivers for new sensor suites and in-house hardware... ...’s or Master’s degree in Computer Science, Electrical Engineering...Remote work$225k
..., ultra‑long context, and inference‑time compute to achieve this goal. About The Role As a Software Engineer on the Inference & RL Systems team, you will design and operate the distributed... ...eliminate performance bottlenecks across GPU, networking, and storage layers...RelocationVisa sponsorship$315k
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Position Senior Tax Systems Engineer (Vertex) - IT Finance Engineering Team This senior‑level role... ...control (Git) Bachelor’s degree in Computer Science, Engineering, Finance Systems, or... ...selected cities (e.g., San Francisco and New York City metropolitan area). In addition...
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