Helix AI Engineer, Perception
Company websitefigure.ai (Figure, opens in new tab)
Base salary $200K to $400K
Employer-published annual base salary, USD. Advertised base range in San Jose, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Jose, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
Responsibilities:
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Develop perception systems including onboard computer vision, localization, visuomotor policies, and offline data annotation.
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Own the end-to-end product life cycle from initial ideation to deployment.
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Deliver high-quality, reliable software solutions for real-world application.
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Collaborate cross-functionally to evolve and optimize our autonomy stack.
Requirements:
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Extensive experience in production-level software and ML engineering best practices.
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Strong mathematical foundation in probability, optimization, and linear algebra.
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Domain expertise in at least one of the following areas: 3D Vision, VIO / SLAM, Vision-Language Model (VLM), Diffusion Models.
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Proficiency with geometric computer vision concepts, including perspective transformation, the pinhole camera model, and epipolar geometry.
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Ability to thrive in a fast-paced environment that demands exploration and creative problem-solving.
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Passion for advancing humanoid robotics.
Bonus Qualifications:
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Experience with CUDA programming and real-time systems performance optimization.
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Familiarity with scalable data engineering toolchains like Spark and Ray.
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Strong publication record in a relevant field.
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Proven success in developing and deploying production-grade systems.
The US base salary range for this full-time position is $200,000 - $400,000 per year.
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.
Source: Figure on Greenhouse · View original posting (opens in new tab)
This listingHelix AI Engineer, Perception$200K to $400K
Helix AI Engineer, Training Performance$200K to $400K
Helix AI Engineer, XR$200K to $400K
Helix AI Engineer, Video Pretraining$200K to $400K
Helix AI Engineer, Backend$200K to $400K
Helix AI Engineer, Android$200K to $400K
Helix AI Engineer, Localization and Mapping$200K to $400K
Chart as a table
| Role | Published base |
|---|---|
| Helix AI Engineer, Perception (this listing) | $200K - $400K |
| Helix AI Engineer, Training Performance | $200K - $400K |
| Helix AI Engineer, XR | $200K - $400K |
| Helix AI Engineer, Video Pretraining | $200K - $400K |
| Helix AI Engineer, Backend | $200K - $400K |
| Helix AI Engineer, Android | $200K - $400K |
| Helix AI Engineer, Localization and Mapping | $200K - $400K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2022-11-15
Where this pay comes from
Location as the employer wrote it: San Jose, CA
The US base salary range for this full-time position is $200,000 - $400,000 per year.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
