Performance Engineer developing foundational technology for an AI startup focused on deployment of LLMs in production. Combines high-performance software engineering with scalable infrastructure responsibilities.
Responsibilities
Build the foundational technology powering Adaptive ML, with a relentless focus on high-performance software engineering;
Write production-grade Rust, combining correctness, performance, and robustness across large-scale distributed systems;
Identify and resolve complex bugs at the intersection of software and hardware correctness in distributed environments;
Contribute to the product roadmap by identifying promising trends and surfacing high-impact technical findings;
Engage with research developments in generative AI and reinforcement learning to inform engineering decisions;
Report clearly on your work to a distributed, collaborative team with a strong bias for asynchronous written communication;
Partner with teammates across engineering, research, and product to deliver robust, scalable solutions.
Requirements
A M.Sc. or Ph.D. in Computer Science, or equivalent demonstrated experience in software engineering, preferably with a focus on machine learning;
Strong Rust skills, or a clear inclination to develop them — especially in distributed systems where performance is key;
Contributions to relevant open-source projects, such as efficient model implementations or reinforcement learning libraries;
Passionate about the future of generative AI, and eager to build foundational technology that helps machines deliver more singular experiences.
Benefits
Comprehensive medical insurance covering health, dental, and vision;
401(k) plan with 4% matching (or equivalent);
Unlimited PTO — we strongly encourage at least 5 weeks each year;
Mental health, wellness, and personal development stipend.
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