This Jobot Job is hosted by: Grant Greenhalgh
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Salary: $175,000 - $225,000 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 DetailsWe're looking for a Research Engineer focused on AI inference and performance optimization. This person will work close to the hardware, developing and optimizing the low-level software responsible for running modern AI models efficiently across high-performance compute platforms. This is an ideal opportunity for an engineer who enjoys working at the intersection of AI systems, GPU programming, performance engineering, and low-level optimization.
What We're Looking For
- Strong experience with GPU programming, high-performance computing, or AI inference optimization
- Hands-on experience with CUDA, ROCm, Triton, or similar low-level compute frameworks
- Experience developing or optimizing GPU kernels
- Strong understanding of modern deep learning and LLM inference workloads
- with performance-critical operations including matrix multiplication and attention
- Experience benchmarking, profiling, and optimizing compute-intensive workloads
- Strong Python and/or C++ programming experience
- Understanding of GPU architecture, memory hierarchy, parallelism, and performance bottlenecks
- Experience with inference frameworks or serving infrastructure is highly valuable
- Background in ML systems, distributed systems, compilers, or performance engineering is a plus
- Ability to operate effectively in a highly technical, research-oriented startup environment
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
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