Top Hardware Engineer Jobs in San Francisco, CA
As a Staff Software Engineer at Instawork, you will develop high-velocity web and mobile products, act as a tech lead on large projects, and engage in hands-on coding across the full stack. This role requires working with agile teams and designing scalable backend systems.
Design and own mission-critical data pipelines, partner with teams to create scalable data solutions, and launch innovative alerting and visualization solutions at Airtable as a Data Engineer.
As a Software Engineer on the Identity & Access Management team at Figma, you'll develop IAM systems, collaborate with product and engineering teams to define project direction, and mentor other engineers. Your role will focus on enabling enterprise customers to efficiently manage access to Figma and support internal product teams in safe product development.
As a Software Engineer on the Developer Experience team at Figma, you'll design and maintain developer tools, lead cross-functional projects, collaborate to resolve developer pain points, and stay updated on industry trends to enhance development workflows.
As a Software Engineer on the FigFile Platform team, you will enhance backend services for Figma, focusing on the Multiplayer service and core infrastructure. Responsibilities include building scalable systems, mentoring engineers, addressing stakeholder needs, and improving engineering standards. You will work collaboratively to ensure seamless interactions with Figma files.
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As a Senior/Staff Network Development Engineer, you will build and maintain network products for Twitter’s global infrastructure, focusing on scalability and performance. Your responsibilities include deploying networks, managing interconnections, optimizing traffic, and collaborating on network design while leading technical initiatives within the team.
As an ML Engineer at Waymo, you will lead model optimization efforts for the perception foundation model, focusing on training and inference efficiency across platforms like TPU, GPU, and CPU. Collaboration with various teams will be essential to drive model enhancements.
The VP of Engineering will lead the engineering management team at Tatari, focusing on strategy, operational excellence, and cross-functional collaboration. Responsibilities include developing and executing strategic objectives, optimizing processes, managing resources, and engaging with stakeholders to enhance project delivery in a fast-paced environment.
As a Senior/Staff Software Engineer, you will design and maintain enterprise features for the Snorkel AI platform, enhance security and observability, collaborate with enterprise customers, lead junior engineers, and participate in on-call responsibilities in a hybrid work environment.
The Engineering Manager will lead the AI Platform team, focusing on building innovative systems to empower users in developing AI with their data. Responsibilities include team management, architecture design, and collaboration with cross-functional teams to enhance the Snorkel Flow platform and improve customer labeling quality.
As a Senior/Staff Software Engineer in Backend, you will own the architecture and operations of large-scale distributed systems, develop scalable backend services for ML workflows, and collaborate closely in a customer-focused environment. You'll ensure CI/CD pipelines are maintained and provide on-call support for production systems.
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As a Senior Full Stack Engineer on the Internal Systems team, you will engage in the architecture, design, and development of features, tackle complex backend issues, lead projects from ideation to launch, and enhance development processes using a variety of technologies.
As Senior Engineering Manager, you'll oversee the development of AI and ML features for the Delta knowledge management platform, manage and motivate engineers, and collaborate cross-functionally to solve technical challenges in natural language processing and machine learning.
As a Staff Software Engineer (Back End), you will architect and extend scalable data pipelines, collaborate on information retrieval architecture, and work with data scientists to enhance the platform's capabilities in natural language processing and machine learning. You will be involved in handling massive datasets and integrating advanced features to improve performance.
The Staff Software Engineer will focus on revolutionizing incident response through AI by building scalable, distributed applications. Responsibilities include designing, developing, and maintaining software while diagnosing production problems, collaborating with teams, and performing peer code reviews.
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