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Nuro
Mountain View, CA, United States
Who We Are Nuro exists to better everyday life through robotics. The company’s custom electric autonomous vehicles are designed to bring the things you need—from produce to prescriptions—right to your home. Nuro’s autonomous, goods-focused solution can give you valuable time back and more freedom to do what you love. This convenient, eco-friendly
Job Source: NuroIntrinsic
Mountain View, CA, United States
Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core. Our mission is to make industrial robotics intelligent, accessible, and usable for mill
Job Source: IntrinsicYeah! Global
Menlo Park, CA, United States
Note: This position does not offer visa sponsorship. One of our clients is looking for a Software Engineer – ML Infrastructure. Here's the lowdown: Support Our Cutting-Edge Research: Provide the infrastructure muscle for our ML research team. Build Powerful Tools: Develop tools to diagnose and troubleshoot cluster issues and hardware failures. B
Job Source: Yeah! GlobalConductor
San Jose, CA, United States
What You’ll Do The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads whil
Job Source: ConductorWaymo
Mountain View, CA, United States
Senior Software Engineer, Training, ML Infrastructure Mountain View, California, United States Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver—to impro
Job Source: WaymoApple, Inc.
Cupertino, CA, United States
Summary Posted: May 29, 2024 Weekly Hours: 40 Role Number: 200546899 The Intelligence Platform team empowers clients across Apple's operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences. We're a systems engineering team focused on building the platform which enables state of the
Job Source: Apple, Inc.Waymo
Mountain View, CA, United States
Software Engineer, Training, ML Infrastructure Mountain View, California, United States Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver—to improve acce
Job Source: WaymoTikTok
San Jose, CA, United States
Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us At TikTok, our people are humble, intelligent, compassionate and creative. We
Job Source: TikTokSan Jose, CA, United States
What You’ll Do
The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!
Location: Hybrid, working onsite at our office 3 days per week with the flexibility to work remotely the remainder of your time
Reports to: SVP
Req: 41882
Stay up-to-date with the latest advancements in parallel computing, distributed systems, and ML technologies, and contribute to the development of new techniques and approaches.
Analyze and profile ML workloads to identify bottlenecks and inefficiencies.
Design and implement parallel and distributed computing systems to improve the scalability and performance of ML workloads.
Optimize ML algorithms and models to reduce memory usage, improve computational efficiency, and minimize communication overhead.
Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
Complete other responsibilities as assigned.
What You Bring
BS in Computer/Electrical Engineering or Computer Science with 5+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 3+ years of relevant working experience or PhD and 0+ years of relevant working experience preferred.
Experience with deep learning techniques and architectures.
Strong proficiency in C++, or a similar programming language.
Experience with popular ML frameworks such as TensorFlow, PyTorch, or JAX.
Experience with ML lowering infrastructure such as MLIR.
Excellent problem-solving skills and ability to think critically and creatively.
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
Ability to work independently and as part of a team
You’re inclusive, adapting your style to the situation and diverse global norms of our people.
An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
Innovative and creative, you proactively explore new ideas and adapt quickly to change.
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Email Alert for Senior Software Engineer, ML Infrastructure jobs in San Jose, CA, United States
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