Hardware Enablement Engineer (AI Infrastructure)

San Francisco, CA, US • Posted 2 days ago • Updated 5 minutes ago
Full Time
On-site
USD $180,000.00 - 250,000.00 per year
Fitment

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Job Details

Skills

  • Startups
  • Health Care
  • C
  • C++
  • Rust
  • Interfaces
  • Firmware
  • Device Drivers
  • Computer Architecture
  • Parallel Computing
  • Machine Learning (ML)
  • High Performance Computing
  • Debugging
  • Computer Hardware
  • CUDA
  • LLVM
  • Military
  • SAP BASIS
  • Authorization
  • Law
  • LOS
  • Recruiting
  • Legal
  • Artificial Intelligence
  • Privacy

Summary

This Jobot Job is hosted by: Grant Greenhalgh
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $180,000 - $250,000 per year

A bit about us:

We're a well-funded AI infrastructure startup developing modern software at the intersection of artificial intelligence, high-performance computing, and specialized hardware. The team is tackling complex performance challenges associated with running modern AI workloads across emerging compute architectures.

Why join us?
  • Well-funded by leading tech investors
  • Cutting edge technical problems with complex solutions
  • Lucrative Equity in a seed stage startup
  • Competitive compensation
  • Excellent benefits (healthcare, vision, dental)


Job Details

We're looking for a deeply technical systems engineer to help bring emerging AI compute platforms from early-stage hardware into production environments. This role sits directly at the intersection of hardware and software, working across multiple layers of the systems stack to enable modern AI workloads on specialized compute architectures and inference infrastructure.

What We're Looking For

  • Strong systems programming experience in C, C++, Rust, or similar low-level languages
  • Experience working with GPUs, AI accelerators, custom silicon, or other specialized compute hardware
  • Strong understanding of hardware/software interfaces
  • Experience across one or more areas including firmware, device drivers, compilers, runtimes, kernels, or low-level libraries
  • Familiarity with accelerator toolchains and software enablement
  • Understanding of computer architecture, memory systems, parallel computing, and hardware performance
  • Experience bringing new hardware platforms or architectures into usable software environments
  • Exposure to AI/ML workloads, inference systems, or high-performance computing
  • Ability to debug complex problems spanning multiple layers of the hardware/software stack
  • Experience with CUDA, ROCm, LLVM, MLIR, Triton, or related technologies is highly valuable


Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91113390
  • Position Id: 14657115
  • Posted 2 days ago
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