Technical Staff Member, Model Efficiency

Job not on LinkedIn

🕒 March 18

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🔴 Lead

🖥 Software Engineer

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Cohere

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

📋 Description

• Work across the inference stack to improve core performance metrics • Dive deep into model execution • Identify bottlenecks and develop innovative optimizations • Collaborate closely with modeling and systems teams • Experiment, measure, and ship improvements that accelerate inference • Build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures

🎯 Requirements

• 5+ years of experience writing high-performance, production-quality code • Strong programming skills in C++ or Python (Rust/Go also welcome) • Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.) • Ability to diagnose and resolve performance bottlenecks across the model execution stack • A strong bias for action — you ship fast, measure impact, and iterate • It’s a big plus if you have experience with GPU programming, CUDA, or low-level systems optimization • Language modeling with transformers (MoE, speculative decoding, KV-cache optimizations) • Scaling performance-critical distributed systems (e.g., computation, search, storage)

🏖️ Benefits

• An open and inclusive culture and work environment • Work closely with a team on the cutting edge of AI research • Weekly lunch stipend, in-office lunches & snacks • Full health and dental benefits, including a separate budget to take care of your mental health • 100% Parental Leave top-up for up to 6 months • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend • 6 weeks of vacation (30 working days!)