Staff AI Inference Tools Engineer @Modular
Artificial Intelligence
Salary £99,600 - £150,..
Remote Location
remote UK
Employment Type full-time
Posted YDay

[Hiring] Staff AI Inference Tools Engineer @Modular

YDay - Modular is hiring a remote Staff AI Inference Tools Engineer. 💸 Salary: £99,600 - £150,000 gbp 📍Location: UK

Role Description

At Modular we are building a next generation AI platform to power modern applications and facilitate access to cutting-edge hardware. The MAX framework is our developer-facing layer: it defines the APIs developers use to express models, integrate custom kernels, orchestrate execution, iterate on quality and ship systems into production.

As an engineer on the MAX Tools team you will build the developer tooling for Modular's AI inference stack to make the engineers who build and deploy AI models more productive. You will be working on tools to help people create, debug, and optimize models and kernels. Modular’s vertically integrated ML serving stack allows you to solve a uniquely diverse set of problems, and gives you especially broad scope for creating solutions. A growing part of our work is agent-native tooling: tools designed so that AI agents can profile, triage, and debug issues under engineer guidance.

LOCATION: Candidates based in the UK are welcome to apply. You can work out of our office in Edinburgh or remotely from home. Onboarding for new hires is conducted in person in Edinburgh.

What you will do:

  • Enhance the MAX developer experience by creating tools that can be part of traditional and agentic workflows, by surfacing data through the entire AI stack, and by supporting a widening list of heterogeneous hardware platforms.
  • Design, build, and maintain key technologies that support the MAX framework, such as profiling and tracing tools, debuggers and associated tools to check correctness, and metrics and dashboards to monitor the performance and health of MAX deployments.
  • Create agent-native tooling: tools that can be used by humans and agents alike, and the agentic workflows that go around them. Write agents to bring up models, to triage issues with running systems, and to profile and optimize based on real workloads.
  • Connect MAX tools through the entire stack: by strengthening the tooling interfaces between MAX, Mojo, and the driver APIs they run on; and by integrating tool use cleanly with the orchestration layers above.
  • Participate in design discussions and code reviews to uphold high engineering standards.
  • Work directly with the kernel, model, and serving engineers who use your tools every day, and turn their recurring pain points into better tools.

Qualifications

  • Passion for creating exceptional developer experiences and an understanding of what makes great tools feel effortless.
  • Experience designing, building, and shipping developer tools, developer infrastructure, or observability systems that other engineers rely on.
  • Fluency in one or more systems/performance languages (C++, Rust, Go) and one or more user-facing languages (Python; familiarity with Mojo is a plus).
  • Experience measuring software performance via profiling, tracing, or benchmarking, and the systems knowledge to analyze those results.
  • Clear written communication and the ability to work independently in a distributed team.
  • A user-focused mindset: you seek out the people who use your tools, learn their workflows, and prioritize what makes them more productive.

Requirements

  • Bachelor's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
  • OR Master's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
  • OR PhD in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
  • AND 2+ years of work experience with Programming Language such as Python, Mojo, Rust, C++, etc.

Benefits

  • Amazing Team: We are a progressive and agile team with some of the industry’s best engineering and product leaders.
  • World-class Benefits: Your benefits package may include comprehensive healthcare coverage, retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities.
  • Competitive Compensation: We offer very strong compensation packages, including RSU grants.
  • Team Building Events: We organize regular team onsites and local meetups in Los Altos, CA as well as different cities. Traveling 2-4 times a year is expected for all roles.
  • Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world.
Before You Apply
️
remote Be aware of the location restriction for this remote position: UK
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Staff AI Inference Tools Engineer @Modular
Artificial Intelligence
Salary £99,600 - £150,..
Remote Location
remote UK
Employment Type full-time
Posted YDay
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remote Be aware of the location restriction for this remote position: UK
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Sent Follow-Up ✓
Interview Scheduled ✓
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