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Open nowFirst seen 4 days ago

Member of Technical Staff

Transparent Search Group151 open roles

Pay
$200,000 – $300,000 a year
Where
San Francisco, California, United States
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Your applicationOpen nowMember of Technical StaffTransparent Search Group · San Francisco, California, United States

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  2. CV RocketCV written for this posting.

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

  4. CV RocketApplied on Transparent Search Group's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 4 days ago

The posting

Member of Technical Staff

Company: Confidential — AI cloud on a mission to maximize intelligence per watt

Location: San Francisco, CA (FiDi office, on-site 5 days per week)

Compensation: $200,000 - $300,000 + 0.5% - 1% equity

Employment Type: Full-time

Visa Sponsorship: Visa transfers for candidates already in the US (no new H-1B or overseas sponsorship)

About the Company

Wafer is an AI cloud on a mission to maximize intelligence per watt, using AI to optimize AI infrastructure. It serves serverless and dedicated inference for open-source LLMs at the best performance per dollar, using autonomous agents to write and tune GPU kernels across heterogeneous hardware, and is deploying its own hardware in co-located data centers.

Founded in 2025, Wafer went from $0 to $4M in revenue in 8 weeks. It has about 7 people and is backed by Fifty Years, Liquid 2 Ventures and prominent AI angel investors.

The Role

Wafer is hiring a Member of Technical Staff (1-6 years) to work close to the hardware on its inference stack. On a small team with massive surface area, you will do everything from talking to customers (10-20% of the role) to writing custom GPU kernels for esoteric hardware, with full autonomy over how you solve problems and a hand in setting the direction of its inference serving infrastructure.

What You Will Do

  • Ship day-zero support for new open-source models, tuned for latency and throughput.
  • Optimize the serving stack: batching, KV cache, speculative decoding and quantization.
  • Write and tune kernels in CUDA, HIP and Triton for NVIDIA, AMD, TPU, Trainium and other accelerators.
  • Design, deploy and operate heterogeneous clusters across vendors.
  • Run production inference across a mixed fleet with strong reliability, observability and cost per token.

What You Bring

  • 1-6 years of software engineering focused on systems close to the hardware
  • Deep understanding of computer architecture, memory hierarchy and OS internals
  • Backend, infrastructure or systems work at a top-tier tech company, hardware-adjacent company, quant firm or strong AI startup
  • CS degree from a top undergraduate program
  • Evidence of exceptionalism (competitions, rankings, standout projects)
  • Enthusiasm for AI agents and coding tools in your own workflow
  • High EQ and clear communication with customers
  • Ability to work on-site in San Francisco 5 days a week

Nice to Have

  • New grads with strong internships are considered
  • Deploying or operating infrastructure at scale (data centers, clusters, GPU fleets)
  • ML inference optimization (quantization, batching, KV cache, speculative decoding)
  • CUDA, Triton or GPU programming; OS, architecture or compilers coursework

Benefits

$1,000/month housing stipend for anyone living within half a mile of the office.

Interview Process

Intro screen (20 min), combined founder screen and technical round, co-founder screen (20 min), technical interview (45 min), one-day on-site work trial.

Tech Stack

CUDA, HIP, Triton, Python, TPU, AWS Trainium

Before you apply: get a free recruiter-readiness score for your resume at CareerStanding — about a minute, no signup, and your resume stays in your browser.

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  2. 25 readers review it

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