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Pear VC

Founding ML Engineer - Outspeed

Posted 12 Days Ago
Be an Early Applicant
7 Locations
Senior level
7 Locations
Senior level
As a Founding Engineer, you will guide the technical direction and build GPU infrastructure for real-time AI, optimizing inference engines and engaging with customers.
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About Us

Outspeed is solving one of the biggest challenges with current AI systems - latency. We are building the infra for real-time AI for applications in gaming, AR/VR, robotics, and more.

Outspeed is led by an experienced team of researchers and engineers with collective experience from MIT, Google, and Microsoft. Our team is based in San Francisco and values empathy, deep technical knowledge, and autonomy. 

Janak earned his bachelor's and master's degrees from MIT and built grid-scale AI algorithms and infra at Autogrid (acq. Schneider). Sahil is a published researcher who led AI infra efforts at Google and Microsoft.
Role Description
As a Founding Engineer, you will play a pivotal role in shaping the company's technical direction.

You will get to build and scale our GPU infrastructure for real-time AI performance, optimizing inference engines for lowest latencies, distributed inference and fine-tuning voice and video models. You will also engage directly with our customers, and contribute heavily to the architectural roadmap. Your technical leadership will be instrumental in supporting and growing our engineering and product teams.

This role requires a proactive individual comfortable working in a fast-paced environment with frequently shifting priorities.

Benefits

  • Competitive salary + Equity

  • Health, dental, and vision insurance.

  • Bonuses based on performance

  • We are a company founded by immigrants, and we are committed to providing support to immigrant workers throughout their journey.

Requirements

  • Experience in end-to-end ML application development, including data engineering, model tuning, and model serving

  • Experience contributing to the architecture and design of resilient, large scale distributed ML systems

  • Strong understanding of ML development technologies such as Pytorch, Transformers, Cuda etc.

  • Strong understanding of ML inference technologies such as vLLM, Ray, llama.cpp etc.

Nice-to-haves

  • Strong understanding of IaC technologies like Docker, Kubernetes, Nomad, Terraform and Firecracker

  • Strong understanding of public cloud features (e.g. SDN, block storage, distributed file systems, identity management)

  • Enjoy moving fast and making a large business impact

Top Skills

Cuda
Docker
Firecracker
Kubernetes
Llama.Cpp
Ml
Nomad
PyTorch
Ray
Terraform
Transformers
Vllm

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