Wafer logo
Wafer Verified
Digital Health, Healthtech, Software Development, Mobile Applications

Member of Technical Staff, Forward Deployed

San Francisco, CAOnsiteFull TimeStaffPosted 1 day agoVisa sponsorship available

Is this role right for you?

Upload your resume and get a skill-by-skill breakdown — see exactly where you match, where you're close, and what to highlight. Not a mystery percentage.

Get a tailored resume highlighting what this role needs.

Required skills

  • AI systems
  • inference workloads
  • production systems
  • trace analysis
  • profiler
  • technical customer relationship
  • benchmark methodology
  • scoped answer
  • customers
  • workloads

Nice to have

  • vLLM
  • SGLang
  • TensorRT-LLM
  • AI startups

Role summary

Wafer is seeking a Forward Deployed Member of Technical Staff to work directly with customers, optimizing AI inference workloads. This role involves technical evaluations, getting customers into production on Wafer's platform, and owning account health post-deployment. You will act as the primary technical contact, diagnosing and resolving issues, building deployment tools, and providing customer feedback to engineering. The ideal candidate is a strong engineer with experience in production systems, performance tuning, and customer relationships, capable of working autonomously to solve complex problems in the AI domain.

Member of Technical Staff, Forward Deployed

At Wafer, we are building AI systems that automatically optimize inference workloads across silicon. Wafer is well funded and serves trillions of tokens a month for mission-critical workloads at fast-growing AI startups.

Forward deployed Members of Technical Staff are the engineers our customers work with. You'll take each customer from first benchmark to production, and keep their workloads fast and healthy after that. Our performance engineers and optimization agents do most of the tuning. You make sure it lands for each customer and stays that way.

This is its own track, with the same bar as the rest of our technical staff. Sales finds customers and closes them. You are the engineer beside them from the first benchmark onward, not a salesperson.

 

What you'll do

  • Run the technical evaluation on the customer's own workload: understand their traffic and latency targets, run the benchmark and explain the result to their engineers.

  • Get each customer into production on Wafer, working with our performance engineers and agents to hit their targets.

  • Own the health of your accounts. Watch latency, errors and usage, catch problems before the customer does, and be who they hear from.

  • When a problem needs a fix in the engine, the kernels or the agents, scope it and bring the right engineer everything they need to solve it.

  • Build the tools, integrations and runbooks that make each new deployment faster than the last.

  • Tell engineering and sales what customers need next, based on what you see in production.

What we look for

  • You are a strong engineer who has shipped and operated production systems. You can read a trace, open a profiler and find the problem yourself.

  • Experience with LLM inference or serving, such as vLLM, SGLang or TensorRT-LLM, is a big plus.

  • You want to work with customers. You have owned a technical customer relationship and can explain results to a skeptical engineering team.

  • You are credible in a room full of engineers. You can defend a benchmark methodology and concede the point when they are right.

  • You work without a spec. The problem arrives half-defined and you come back with a scoped answer rather than a list of questions.

How we evaluate

We score every candidate on seven values:

  1. Infinitely Resourceful

  2. Exceptionalism

  3. Unreasonable Standards

  4. Company Over Self

  5. High EQ

  6. Learns Quickly

  7. First Principles Thinker

Benefits

  • Fully covered medical, dental, and vision insurance.

  • Daily lunch and dinner, unlimited PTO, and parental leave.

  • $1K/month housing stipend (post-tax) if you live within walking distance (0.5 miles) from the office.

  • Relocation allowance and benefits.

  • Covered Uber/Waymo from/to office.

  • Visa sponsorship available.

How we work

On-site in San Francisco, five days a week. Small team with massive surface area and ownership. You operate with complete autonomy of how to solve problems.

Your success is measured by customers who move their production traffic to Wafer and stay because it keeps getting faster.

Ready to apply?
You'll be redirected to Wafer's application page.

Similar roles

See how RiseMe works

Match, tailor, and prep so you send fewer applications and land more interviews.