Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Staff Design Integration Lead will coordinate chip integration activities, optimize performance, and work collaboratively with multiple teams to advance NAND Flash memory solutions.
Top Skills:
Circuit Simulators (XaElectrical Engineering PrinciplesFinesim)HsimHspiceNand Flash Memory
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The HBM Design Architect designs and analyzes digital and analog circuits for advanced HBM products, optimizing performance and functionality.
Top Skills:
Cmos Circuit DesignFinesimHspice
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Staff Engineer will support LPDDR customer enablement, collaborating with engineers for product evaluation, debugging, and documentation preparation.
Top Skills:
DramLpddr
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.
We are looking for Data Labeler to help us in our efforts to annotate and label our data for AI training applications.
We are looking for Data Labeler to help us in our efforts to annotate and label our data for AI training applications.
Responsibilities:
- Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots
- Collaborate with ML engineers to refine labeling guidelines and improve interface efficiency
- Identify and flag ambiguous or edge-case scenarios for review by the ML team
- Maintain high throughput and consistent quality across large annotation batches
- Contribute feedback on workflow improvements and tool enhancements
Requirements:
- Strong attention to detail and the ability to apply consistent logic across diverse scenarios
- Comfortable navigating computer-based tools and quickly learning new software
- Patient, quality-focused mindset with the ability to juggle multiple assignments
- Clear written and verbal communication skills
- Reliable, self-motivated work style and a collaborative spirit within a fast-paced environment
- Fluency in English required
This is a one-month contract-to-hire position, with potential for longer-term opportunities depending on your contributions and interests. We’re looking for motivated people who want to support real-world robot development—and grow with us.
The US base salary range for this full-time position starts at $30/hr.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.Figure.ai Sunnyvale, California, USA Office
Sunnyvale, California, United States
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
