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About Wafer

Our mission at Wafer is to maximize intelligence per watt by using AI to optimize AI infrastructure, achieving thousands of times better energy and cost efficiency.

We believe cheap intelligence is the most essential piece of technology for a future of abundance. And we aim to build the future with intelligence too cheap to meter.

Wafer is well funded and serves trillions of tokens a month for mission-critical workloads. We serve high-performance inference to some of the fastest-growing AI companies in the world.

We're looking for our founding growth hire to work directly with our founders and GTM lead to build Wafer's marketing function and make the company grow faster. This is an unusually broad role. Your job is to take ownership of how Wafer shows up and execute whatever marketing work matters most across brand, content, social, launches, communications, events, customer stories, and distribution.

One week that might mean turning an engineering result into a product launch, writing posts for Wafer and its founders, and improving a landing page. The next it might mean organizing a dinner for AI infrastructure leaders, interviewing a customer for a case study, coordinating a podcast or press opportunity, or figuring out which marketing program we should run next.

You should be the kind of person we can hand an incomplete thought, technical result, or rough idea to and trust that it will come back as a clear strategy and finished work.

What you'll own

Strategy and positioning: Help define Wafer's marketing strategy, audiences, narrative, priorities, and operating calendar. Make our technical differentiation clear without oversimplifying it.
Member of Technical Staff
Our mission at Wafer is to maximize intelligence per watt by using AI to optimize AI infrastructure, achieving orders of magnitude better energy and cost efficiency per token.
We believe cheap intelligence is the most essential piece of technology for a future of abundance. We care about building a future where intelligence is \"too cheap to meter.\"
Wafer commercializes these efforts by serving serverless and dedicated inference for open source LLMs at the best performance per dollar. Our core bet is doing this through autonomous optimization of heterogeneous hardware.
What you'll do
- Ship day-zero support for new open-source models, tuned for latency and throughput
- Optimize the serving stack: batching, KV cache, speculative decoding, quantization
- Write and tune kernels in CUDA, HIP, and Triton for NVIDIA, AMD, TPU, Trainium, D-Matrix, and more.
- Design, deploy, and operate heterogeneous clusters across vendors
- Run production inference across a mixed fleet: reliability, observability, and cost per token at scale
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

About Wafer

What you'll own

What you'll do

How we evaluate

Wafer

Open roles2