About this role

The role

You'll own the cost and performance of our inference stack. Your work will determine how efficiently we serve models as workloads, traffic, and hardware change.

You'll work closely with the engineers operating the serving fleet while owning the core performance levers: caching, batching, quantization, decoding, and kernel-level optimization. Success means improving throughput and latency without compromising reliability or model quality.

Responsibilities

  • Improve throughput, cost, and tail latency through KV-cache management, continuous batching, speculative decoding, and quantization.

  • Optimize long-context prefill and decode workloads based on real production traffic.

  • Tune routing between our infrastructure and external providers based on cost, capacity, and performance.

  • Work within serving engines such as vLLM, SGLang, and TensorRT-LLM, going below the framework when needed.

  • Build profiling and measurement systems that show where time, memory, and compute are being spent.

Qualifications

  • 5+ years in ML systems, inference infrastructure, or performance engineering, with measurable improvements in cost or latency.

  • Deep understanding of model serving, including prefill and decode, memory bandwidth, batching, and concurrency.

  • Production experience with serving engines such as vLLM, SGLang, or TensorRT-LLM.

  • Strong Python skills and proficiency in C++, Rust, or another systems language.

  • Experience with GPU performance, including CUDA, NCCL, mixed precision, memory layout, kernels, or quantization.

Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.

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About us

Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.

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Benefits

  • Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.

  • Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.

  • Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.

  • Well-Being: Comprehensive medical benefits and generous paid time off.

Frequently Asked Questions

Is the salary disclosed for the Inference Performance Engineer position at adaption?
The salary for this Inference Performance Engineer role at adaption is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the Inference Performance Engineer job at adaption remote?
Yes, this Inference Performance Engineer position at adaption is remote, with team members based in Argentina, Brazil, Canada, France, Germany, India, Ireland, Mexico, Netherlands, San Francisco, Singapore, United Kingdom. You can work from home or anywhere in the supported regions.
Is the Inference Performance Engineer role at adaption full-time or part-time?
This is listed as a FullTime position. It is posted as a Inference Performance Engineer role in the Platform department at adaption.
Which team or department does the Inference Performance Engineer at adaption belong to?
This Inference Performance Engineer position is part of the Platform department at adaption. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Inference Performance Engineer position at adaption?
Click the "Apply Now" button on this page. You will be redirected to adaption's official application portal hosted on ashby where you can submit your application directly.
When was the Inference Performance Engineer job at adaption posted?
This Inference Performance Engineer position at adaption was posted on Aug 21, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
Inference Performance Engineer
adaption
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