…Strong excitement about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Strong software engineering…

…Collaborate with ML researchers to bring new model architectures into production at scale. Continuously profile and analyze system-level performance to identify bottlenecks and…

…Your background looks something like this - 6+ years of experience in AI/ML engineering or research. - Prior experience post-training and deploying LLMs in…

…through Carrot - Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on…

…BONUS POINTS IF... - AI/ML products - Consumer mobile - Enterprise product experience We value people who are eager to learn new things and recognize that…

…engineering skills. - Value test-driven development methods, clean code, and strive to reduce technical debts at all levels. - Proficiency in Python and related ML…

…You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers. - Work in a startup-like development environment, where…

…search systems, retrieval-augmented generation (RAG), or AI/ML APIs - Background in developer tools, platform engineering, or high-scale/low-latency system design - History…

…ML/RL techniques in autonomy pipelines. Background in collaborative behaviors, swarm robotics, or distributed decision-making. Familiarity with tactical behaviors for unmanned systems in…

…Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply…

…Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model…

…Collaborate closely with product, ML, and engineering teams to influence roadmap and core platform capabilities. Write clean, maintainable code and build reusable modules to…

…data discovery - Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles - Set team goals and…

…researchers and ML engineers to resolve bottlenecks in data pipeline performance. Improve runtime goodput of ML training workload, including optimizing input data processing systems…

…We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across…

…ML systems. - Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research…

…engineering execution teams to track delivery and timelines Review, track and improve operational performances and be obsessed with continuous improvement Brainstorm with premier research…

…experience with - AI/ML accelerator architectures and dataflow optimization - RTL design and verification (Verilog/SystemVerilog) - Cycle-accurate simulation tools (gem5, SystemC, or custom simulators…

…WHAT ARE WE LOOKING FOR? - Previous founding or startup experience - Experience optimizing ML inference or engineering systems for research teams - Fluency in Python and…

…NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. Our team is developing Thunder…

…We need ML-minded engineers who can collect, filter, and synthesize high-quality data at scale. We treat data as a research problem, not…

…Our best engineers align with team priorities while pushing back with data when they see problems. THE WORK - Design and build core systems that…

…Lead and build a team of ML engineers in charge of reliable sensing anomaly detection and calibration Build a data flywheel to automatically generate…

…research to transfer the pioneering research in generative AI to production ready technologies - Understanding product requirements, translate them into modeling tasks and engineering tasks…

…research team to share relevant feedback and iterate on applying their latest models - Collaborate with a cross-functional team of engineers, HRBPs, recruiters, researchers…