3 senior software engineer jobs found in San Jose, CA

Staff Software Engineer, Machine Learning (Safety)   San Francisco, CA   We are seeking an accomplished and experienced Staff Machine Learning Engineer – Safety ML to join our dynamic team. As a technical lead of the Safety ML team, you will be responsible for designing, developing, and maintaining our data and AI/ML infrastructure and services. You will collaborate with cross-functional teams, including data scientists, software engineers, MLEs and product managers, to deliver modern and cutting-edge solutions that improve safety on the platform. This role reports to the Senior Manager of Machine Learning, Safety. What You'll Be Doing Serve as the team’s technical lead and mentor, guiding ICs through design, experimentation, and implementation while raising the technical bar. Define and drive the Safety ML team’s technical strategy and roadmap. Set the bar in technical reviews, including code, design, and architecture, ensuring the team...

Lead Full-Stack Software Engineer | AI-Enhanced Hardware Design sf, ca Lead Full-Stack Software Engineer | AI-Enhanced Hardware Design Platform Compensation: $180,000-220,000 (Salary + Equity + Bonus) Location: Hybrid, Bay Area (Must already be local relocation not supported) Who Are We? Were building the GitHub of hardware. Used by over 1.8 million engineers designing electric vehicles, drones, and AR headsets, our platform is revolutionizing electronics design. Until recently, we were profitably scaling on customer traction alone but now, we've raised our first round of funding to integrate AI and expand globally. Think: AI-assisted design tools, blazing-fast search, and a dev experience built for hardware engineers, by software engineers. What's In It for You? Massive Product Impact: Your code will touch workflows used by millions of engineers worldwide. AI at the Core: Lead the development of our GenAI Copilot to supercharge design speed and intelligence....

Machine Learning Engineer - Infra San Francisco, CA     The Opportunity We are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Engineer to join our growing team within Genentech Research and Early Development AI Drug Development (gRED AIDD). This role is crucial for enhancing the core features that power our machine learning initiatives. The ideal candidate will have deep experience building scalable software and infrastructure, while consistently adhering to corporate standards and best practices. What you'll do Design, implement, and maintain scalable and reliable ML infrastructure, leading the architecture and delivery of significant technical solutions. Proactively identify and solve complex, often cross-functional, technical problems within the ML infrastructure domain. Collaborate closely with ML engineers and data scientists to understand and address their...