Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 115 days ago

Member of Technical Staff

Wafer9 open roles

Pay
$250,000 a year
Where
San Francisco
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowMember of Technical StaffWafer · San Francisco

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Wafer's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Wafer postings stay open a median of 1 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 115 days ago

Wafer median: 1 days open

The posting

MEMBER OF TECHNICAL STAFF

Inference performance depends on how efficiently models use the underlying hardware. Techniques across kernels, compilers, runtimes, and serving systems can dramatically improve latency and throughput, but these optimizations are difficult, hardware-specific, and slow to reproduce across new accelerators. And none of it counts until it is running in a customer's production traffic.

At Wafer, we are building AI systems that automatically optimize inference workloads across silicon. The goal is fungible token capacity. Any accelerator optimized toward serving inference most efficiently.

Wafer is well funded and serves trillions of tokens a month for mission critical workloads. We serve the highest performance inference to fast-growing AI startups.

Members of Technical Staff build the systems that make that possible: the kernels, runtimes, agents and infrastructure behind every workload we serve. Our forward deployed engineers run customer deployments day to day and bring you in on the hardest problems.

WHAT YOU'LL DO

- Develop and optimize high-performance computing kernels, and work across inference engine internals and serving infrastructure

- Develop AI agents to do autonomous inference engineering

- Design, deploy, and operate heterogeneous clusters across vendors

- Take on the hardest customer problems. When a workload needs a fix in the engine, the kernels or the agents, our forward deployed engineers bring it to you and you solve it

- Inform product roadmap. You sit closer than anyone to how Wafer behaves under real load, and the engineering team builds against what you report

WHAT WE LOOK FOR

- You are an exceptional engineer. You have shipped and operated production systems, and you can still open a profiler, read a trace, and find the problem yourself. Inference experience helps, but it matters more that you can be handed an unfamiliar system and own it inside a week.

- You are credible in a room full of engineers. You can take a skeptical ML team through a benchmark, defend the methodology, and concede the point when they are right.

- You work without a spec. The problem arrives half-defined from a customer who does not yet know what they need, 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

COMPENSATION AND BENEFITS

- $250K + generous equity.

- 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.

- Covered Uber/Waymo from/to office.

- Relocation allowance and benefits.

- 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. We don't see engineers as code writers, but as problem solvers. You will work across the stack to build a company scaling extremely quickly.

This is not a role that lives in meetings. Nearly all of your time is engineering. What makes it different is who that engineering is for: you are responsible for a named set of customers, their workloads run on what you build, and you are the person they hear from when it matters.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Wafer's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Wafer's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Wafer's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.