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Senior Camera & Vision Engineer

Lyte AI · Sunnyvale, CA, United States · On Site · Active · $150,000–$300,000 / year · Rippling ATS

Job facts

Field	Value
Company	Lyte AI
Title	Senior Camera & Vision Engineer
Normalized title	-
Department / team	Physical AI Labs
Location	Sunnyvale, CA, United States
Work model	On Site
Employment type	Full Time
Salary	$150,000–$300,000 / year
Status	active
ATS provider	Rippling ATS
Posted / first seen	2026-01-04 / 2026-05-29
Changed / last seen	2026-06-21 / 2026-06-21

Related slices

Page	What it contains	Open
Company jobs	Active postings from Lyte AI.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Rippling ATS.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in Sunnyvale.	Open
Department jobs	Active postings in Physical AI Labs.	Open
Work model jobs	Active On Site postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Lyte AI
Source	f4afde55-a55c-4387-8736-a15d6734cb06
ATS provider	Rippling ATS

Description

company About Lyte Lyte builds perception systems for Physical AI operating in complex environments. The company combines custom silicon, integrated sensors, and software into a unified platform for robotics, mobility, and next-generation automation. Lyte is headquartered in Sunnyvale, California, with a global presence. For more information, visit www.lyte.ai If you’re excited about building impactful technology in a dynamic, hands-on environment, we’d love to hear from you! role About the role We are looking for a Senior Camera & Vision Engineer to lead the development of camera-based perception in our robotics systems. This is a hands-on role for someone who deeply understands camera hardware, ISP tuning, and modern computer vision and ML techniques—and enjoys turning raw sensor data into reliable, real-time perception outputs. You will own camera selection and configuration, tune imaging pipelines, develop and integrate vision algorithms, and work closely with perception, ML, and software teams to build a robust, scalable perception stack. This role sits at the intersection of hardware, algorithms, and software, with a strong focus on modern ML-based vision systems. What you'll do Own camera-based perception pipelines from sensor selection to production deployment Evaluate and select camera sensors, modules, and optics based on system and application requirements Tune and optimize ISP pipelines (image quality, color, HDR, noise, latency, synchronization) Develop and integrate computer vision and ML-based algorithms into the perception stack Work with perception and software teams to integrate cameras with other sensors (LiDAR, IMU, radar, etc.) Design and deploy real-time vision systems on embedded and edge compute platforms Implement and optimize models for tasks such as object detection, tracking, and segmentation; depth estimation from cameras (mono, stereo, multi-view); optical flow and motion estimation Stay current with state-of-the-art vision models, tools, and frameworks, and apply them pragmatically to products Debug perception issues across the full stack—from sensor and ISP to algorithms and ML inference Required Qualifications Bachelor's degree or higher in Computer Science, Electrical Engineering, Robotics, or a related field 7+ years of experience in camera, computer vision, or perception engineering Strong experience with camera sensors, optics, and ISP tuning Deep understanding of computer vision and ML fundamentals Hands-on experience developing and deploying ML-based vision models Strong software engineering skills in C++ and/or Python Experience integrating perception algorithms into production systems Ability to collaborate effectively with hardware, systems, and software teams Preferred Qualifications Experience in robotics, autonomous systems, AR/VR, or advanced driver assistance systems (ADAS) Familiarity with modern vision and ML frameworks (PyTorch, TensorFlow, ONNX, OpenCV, etc.) Experience with embedded or edge AI deployment (NVIDIA Jetson, CUDA, TensorRT, etc.) Background in depth estimation, stereo vision, SLAM, or visual-inertial systems Experience with optical flow and motion estimation techniques Track record of shipping camera-based perception systems to production Benefits (subject to location and local regulations) Competitive salary and equity Comprehensive medical, dental, and vision coverage 401(k) retirement plan Flexible vacation and time-off policy Collaborative, fast-paced, and inclusive work environment Opportunity to work on cutting-edge technologies with a highly cross-functional team

Full job record

Job ID	7ca965c1a7386d51f00125c21637b49030078306
Org ID	3c5bf59d-998c-4877-a152-62bdeba1ec4a
Source ID	f4afde55-a55c-4387-8736-a15d6734cb06
Board ID	f4afde55-a55c-4387-8736-a15d6734cb06
Provider	rippling
Provider Job Key	9e1d8431-bb70-458f-acc5-ba7ccde24cc9
Title	Senior Camera & Vision Engineer
Normalized Title	—
Status	active
Active	yes
Location Text	Sunnyvale, CA, United States
Department	Physical AI Labs
Team	—
Employment Type	full_time
Workplace Type	on_site
Remote Policy	—
Country	United States
Region	CA
City	Sunnyvale
Salary Raw	USD 150000-300000 YEAR
Salary Min	150,000
Salary Max	300,000
Salary Currency	USD
Salary Period	year
Source URL	https://ats.rippling.com/lyte/jobs/9e1d8431-bb70-458f-acc5-ba7ccde24cc9
Apply URL	https://ats.rippling.com/lyte/jobs/9e1d8431-bb70-458f-acc5-ba7ccde24cc9
First Seen At	2026-05-29 07:16:45Z
Last Seen At	2026-06-21 10:10:09Z
Last Checked At	2026-06-21 10:10:09Z
Last Changed At	2026-06-21 10:10:09Z
Inactive At	—
Source Posted At	2026-01-04 22:26:00Z
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=lyte/date=2026-06-21/2026-06-21T10-10-06-482Z-9174d53afe0330cb33cdfdabc54291aa747e146a59864c28a4301ffd3294ce8f.json

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      "role": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">About the role</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">We are looking for a Senior Camera &amp; Vision Engineer to lead the development of camera-based perception in our robotics systems. This is a hands-on role for someone who deeply understands camera hardware, ISP tuning, and modern computer vision and ML techniques—and enjoys turning raw sensor data into reliable, real-time perception outputs.</span><br><span style=\"color:rgb(0,0,0);background-color:rgb(255,255,255);white-space:pre-wrap;\">You will own camera selection and configuration, tune imaging pipelines, develop and integrate vision algorithms, and work closely with perception, ML, and software teams to build a robust, scalable perception stack. This role sits at the intersection of hardware, algorithms, and software, with a strong focus on modern ML-based vision systems.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">What you'll do</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Own camera-based perception pipelines from sensor selection to production deployment</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Evaluate and select camera sensors, modules, and optics based on system and application requirements</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Tune and optimize ISP pipelines (image quality, color, HDR, noise, latency, synchronization)</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Develop and integrate computer vision and ML-based algorithms into the perception stack</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Work with perception and software teams to integrate cameras with other sensors (LiDAR, IMU, radar, etc.)</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Design and deploy real-time vision systems on embedded and edge compute platforms</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Implement and optimize models for tasks such as object detection, tracking, and segmentation; depth estimation from cameras (mono, stereo, multi-view); optical flow and motion estimation</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Stay current with state-of-the-art vision models, tools, and frameworks, and apply them pragmatically to products</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Debug perception issues across the full stack—from sensor and ISP to algorithms and ML inference</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Required Qualifications</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Bachelor's degree or higher in Computer Science, Electrical Engineering, Robotics, or a related field</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">7+ years of experience in camera, computer vision, or perception engineering</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Strong experience with camera sensors, optics, and ISP tuning</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Deep understanding of computer vision and ML fundamentals</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Hands-on experience developing and deploying ML-based vision models</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Strong software engineering skills in C++ and/or Python</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Experience integrating perception algorithms into production systems</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Ability to collaborate effectively with hardware, systems, and software teams</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Preferred Qualifications</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Experience in robotics, autonomous systems, AR/VR, or advanced driver assistance systems (ADAS)</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Familiarity with modern vision and ML frameworks (PyTorch, TensorFlow, ONNX, OpenCV, etc.)</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Experience with embedded or edge AI deployment (NVIDIA Jetson, CUDA, TensorRT, etc.)</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Background in depth estimation, stereo vision, SLAM, or visual-inertial systems</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Experience with optical flow and motion estimation techniques</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"white-space:pre-wrap;\">Track record of shipping camera-based perception systems to production</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Benefits </strong></b><span style=\"font-size:12pt;white-space:pre-wrap;\">(subject to location and local regulations)</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:left;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Competitive salary and equity&nbsp;</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:left;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Comprehensive medical, dental, and vision coverage&nbsp;</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:left;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">401(k) retirement plan&nbsp;</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:left;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Flexible vacation and time-off policy&nbsp;</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:left;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Collaborative, fast-paced, and inclusive work environment&nbsp;</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:left;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Opportunity to work on&nbsp;cutting-edge&nbsp;technologies with a highly cross-functional team&nbsp;</span></li></ul>",
      "company": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">About Lyte</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Lyte builds&nbsp;perception&nbsp;systems for Physical AI&nbsp;operating&nbsp;in complex environments. The company combines custom silicon, integrated sensors, and software into a unified platform for robotics, mobility, and next-generation automation. Lyte is headquartered in Sunnyvale, California, with a global presence. For more information, visit </span><a href=\"http://www.lyte.ai\" target=\"_blank\" class=\"css-173makr-linkStyle\" style=\"color:rgb(30,74,169);cursor:pointer;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">www.lyte.ai</span></a></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:center;\"><b><strong style=\"font-size:13pt;white-space:pre-wrap;\">If&nbsp;you’re&nbsp;excited about building impactful technology in a dynamic, hands-on environment,&nbsp;we’d&nbsp;love to hear from you!</strong></b></p>"
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            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
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          {
            "oid": "phone_number",
            "title": "Phone number",
            "required": true,
            "fieldData": {},
            "fieldType": "PHONE_NUMBER"
          },
          {
            "oid": "location",
            "title": "Location (city only)",
            "required": true,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "linkedin_link",
            "title": "LinkedIn link",
            "required": false,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
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          {
            "oid": "website_link",
            "title": "Website link",
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            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "resume",
            "title": "Resume",
            "required": true,
            "fieldData": {},
            "fieldType": "FILE"
          },
          {
            "oid": "cover_letter",
            "title": "Cover letter",
            "required": false,
            "fieldData": {},
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            "questions": [
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                "title": "Are you legally authorized to work in the country where this position is located without employer sponsorship?",
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                "questionType": "KNOCKOUT",
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              {
                "tags": [],
                "title": "Will you require relocation assistance?",
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                "dataType": "enum",
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                "uniqueKey": "6ee66615-1210-40ed-99ae-39952c3f9871",
                "intChoices": [],
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                "strChoices": [
                  "Yes",
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                "questionType": "SINGLE_SELECT_RADIO",
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              }
            ],
            "skipLogic": [],
            "deletedSections": [],
            "deletedQuestions": []
          },
          "name": "Work Authorization and Job Location"
        }
      ]
    },
    "hasAIEvaluationsEnabled": true,
    "eeocQuestionnaireEnabled": true,
    "applicationConfirmationTemplate": "69597919867bd28fa68e9bf6",
    "eeocQuestionnaireEnabledForJobPost": true
  },
  "detail_meta": {
    "url": "https://ats.rippling.com/api/v2/board/lyte/jobs/9e1d8431-bb70-458f-acc5-ba7ccde24cc9",
    "http_status": 200,
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}

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Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/7ca965c1a7386d51f00125c21637b49030078306?include=descriptionJSON

GET https://api.bluedoor.sh/job-postings/v1/orgs/3c5bf59d-998c-4877-a152-62bdeba1ec4aJSON

GET https://api.bluedoor.sh/job-postings/v1/sources/f4afde55-a55c-4387-8736-a15d6734cb06JSON

GET https://api.bluedoor.sh/job-postings/v1/jobs/7ca965c1a7386d51f00125c21637b49030078306/eventsJSON

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