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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Performance Engineer, Inference Systems”. A match may be a passing mention rather than the job itself. Titles only.
158 roles across 177 listings · show every listing · page 1 of 7
…You will build the systems that take a model from notebook to production, ensuring low-latency inference at scale with high reliability. Our team…
…voice identity and consistency, data and training strategy, post-training, and inference performance — and make sure they land as measurable production gains. - Stay deeply…
…Knowledge and experience with Docker, Kubernetes, High-performance application development. Technical leadership skills and ability to mentor early-in-profession engineers. #MicrosoftAI Software Engineering…
…Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success Design experiments and targeted off-road…
…Partner with engineers to productionize models, decision systems, data products, and experimentation infrastructure. Own post-launch decision quality by monitoring model and KPI performance…
…experience reasoning about model routing, inference cost, and latency tradeoffs in production Strong software engineering fundamentals: distributed systems, API design, and testing discipline Comfort…
…Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g. PyTorch) Experience with NCCL…
…Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference…
…ensure system reliability and performance, and participate in on-call rotation Required Qualifications 7+ years of experience in DevOps, Site Reliability Engineering (SRE), or…
…Engineers, specifically around optimizing Generative AI performance across heterogeneous hardware (CPUs, GPUs, and EdgeTPUs). Guide the team in designing resilient and robust systems, proactively…
…As a Quantum Systems Digital Design Engineer II , you’ll collaborate closely with quantum physicists, systems software, RF/EE, and manufacturing/production to define…
…The Marketplace Intelligence (MI) team is looking for an Applied Science Manager to lead a team of scientists and engineers in building production ML…
…We're looking for engineers who are comfortable owning ambiguous problems end to end, can design systems that balance correctness with performance, and thrive…
…About the team The team is comprise of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with…
…machine learning pipelines and online serving systems - Work closely with applied scientists to optimize ML model performance and implement end-to-end solutions from…
…OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR…
…The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration. We are hiring an AI Performance Engineers at multiple levels…
…OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience. OR…
…Inference Acceleration. We are seeking an ambitious, bright and innovative engineer who has delivered commercial software and experience spanning design, compiler technology, performance modeling…
…Spark and in training/inference systems such as Ray, vllm/SGLang Solid grounding in engineering fundamentals and enterprise system design Preferred qualifications, capabilities, and…
…Partner closely with Product, Engineering, and Sales to propose new pricing models, SKUs, and packaging motions based on deal desk insights. - Build the function…
…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…
…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…
…differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product…
…AI infrastructure system, and SambaStack, our inference serving platform. Together, they enable customers to deploy and operate production AI environments with performance, reliability, and…