Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 5 years of experience in designing and developing large-scale distributed systems. 5 years of experience in Cloud building or operating large-scale,
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice),
Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Company Description Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this
Meta is seeking a Staff Software Engineer to join the Core Machine Learning team, focused on building and scaling the foundational ML infrastructure and systems that power Metas family of products. In this role, you will
About the Company Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train
Eaton’s ES AMER Sector Integration division is currently seeking a hands-on Lead Mechanical Engineer to support the development of advanced EDLC supercapacitor products, with the primary focus on EDLC modules and their internal mechanical components. This
Reality Labs (RL) is bringing Metas vision to life through virtual reality (VR), augmented reality (AR), and wearable technology. Meeting the demanding compute and power efficiency needs of these products requires purpose-built silicon. The Reality Labs
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI
Minimum qualifications: Bachelors degree or equivalent practical experience. 8 years of experience in software development. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3
Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience in a technical leadership role. 3 years of experience with developing large-scale infrastructure, distributed systems or networks,
Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Discovery AI Lab is pioneering large language model (LLM) technologies across the full ML lifecycle — pre-training, mid-training, and post-training — to replace traditional recommendation pipelines with generative AI. Our work spans preference alignment and reinforcement
Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Minimum qualifications: Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 5 years of experience in DFT architecture, implementation, and verification for SoCs. Experience in silicon bring-up, debug,
We are looking for a Senior Inference Engineer to own inference for real-time multimodal conversational AI. This is a full-stack inference role: you will work across the entire path a model takes from research to production
Meta is building custom silicon to power the next generation of infrastructure and computing platforms. As an ASIC Engineer specializing in Design for Test (DFT) on the Infrastructure Silicon team, you will architect and implement testability