Member of Technical Staff, Forward Deployed
Wafer
San Francisco, CA · Posted November 6, 2026
Just laid off? Start here: a plan for the first weeks
More in California job market · All Member of Technical Staff jobs (324) · Technology & Software · Engineering jobs
More roles at Wafer
- Member of Technical Staff, Security · San Francisco, CA
- Compliance Lead · San Francisco, CA
- Head of Finance · San Francisco, CA
Similar jobs
- Senior Software Development Engineer, Loyalty - Full Stack · Expedia Group · San Jose, CA
- Staff Software Developer, Unified Communications · Nvidia · Santa Clara, CA
- Site Reliability Engineer, Client Platform · Hadrian · Los Angeles, CA
- Software Engineer, Cisco Cloud Control / Catalyst Center · Cisco Systems · Milpitas, CA
- Distinguished Software Engineer, AI Software & Platform (Hybrid) · Cisco Systems · Milpitas, CA
- Software Engineer II - Space and RF Sensors · RTX · el segundo, CA
Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 143 open member of technical staff listings that state pay, the middle half runs $200,000 to $270,000 and the median is $240,000.
Listed pay is what employers advertise, not what people are paid.
Member of Technical Staff salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
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.