Senior Compiler Engineer, AI
- Remote, United States
- Senior
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
Senior compiler engineer on a team using machine learning to improve compiler pipelines, with LLM-driven tooling for developers.
About the role
Work spans feature engineering through model building to compiler integration and production rollout. Success means measurable gains in runtime, compile time or efficiency on real workloads.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Python, LLVM, MLIR, GPU architecture, Machine learning, Reinforcement learning
- Posted
- 30 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Design and ship end-to-end compiler optimization workflows, from features and models to production rollout
- Build interfaces between LLM systems and compiler infrastructure for recommendations and automation
- Partner with compiler, architecture and performance teams to check impact on benchmarks and real workloads
What they look for
- Degree in computer science or similar, or equivalent experience, focused on ML and compiler or developer tools
- Eight or more years in software engineering and AI/ML, ideally in tools or systems
- Solid grasp of compilers, code generation and GPU architecture
- Proficiency in Python and C/C++
- Hands-on work with LLVM/MLIR: optimization passes, code generation or frontend integration
Nice to have
- Familiarity with reinforcement learning, evolutionary algorithms, predictive modeling and complex systems
- Track record of shipping AI/ML in production and embedded settings
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
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Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job gvqofrzas2Questions about this job
Can I do this job remotely, and from which countries?
Yes, it is listed as remote, aimed at candidates in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a senior role. The posting asks for: degree in computer science or similar, or equivalent experience, focused on ML and compiler or developer tools; eight or more years in software engineering and AI/ML, ideally in tools or systems; solid grasp of compilers, code generation and GPU architecture. Skills it names include Python, LLVM, MLIR, GPU architecture.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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