Samsara is hiring a
Remote Senior Embedded Engineer Camera Vision
\nAbout the role:\n\nThe role reports to the safety embedded applications team. The engineer will be working closely with the machine learning team members in integrating the ML models into the firmware and optimizing, productizing the edge ML models. \nIn this role, you will: \n\n\nBe responsible for developing and integrating camera offerings for Samsara’s dash camera and fleet management system.\n\nIntegrate core camera imaging features and audio features, by working closely with the SoC vendors and ODM partners. \n\nBe responsible for core camera performance tuning related to image quality, audio quality and machine vision featureset.\n\nWork closely with the AI/ML team and other firmware teams to enable safety features for Samsara dash cameras, Primarily working on the camera integration and productization of the AI/ML models for our cameras to improve fleet safety.\n\nChampion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.\n\n\n\n\nMinimum requirements for the role:\n\n\n5 to 8 years of experience in embedded software development on complex SoC using Linux operating systems or similar. \n\nProficient in C or C++ programming language with strong debugging skills on embedded systems. \n\nUnderstanding of the camera systems operation of image sensors, 3A algorithms and other image processing algorithms. \n\n1 to 2 years of experience in embedded computer vision frameworks and integration of AI/ML models into embedded systems.\n\nExperience in ADAS embedded system deployment involving cameras. \n\nAwareness of camera image quality tuning tools & fundamentals. Awareness of audio/video encoding standards.\n\n\n\n\nAn ideal candidate also has:\n\n\nAdditional skills in complex audio video multimedia systems using frameworks like gstreamer and NNstreamer. \n\nExperience in the ADAS systems and its associated technical complexity in the field of embedded systems.\n\nUnderstands the challenges in productizing computer vision models in edge computing starting with datasets, model conversions to run on edge, integration of the models and deployment to production.\n\nFamiliarity with golang and edge to cloud interfaces using protocols such as gRPC, websockets.\n\nFamiliarity with edge ML frameworks like Tflite, SNPE, TVM etc.\n\nFamiliarity with OpenCL, OpenGL, Hexagon DSP. \n\nFamiliarity with distributed computing across DSP, GPU, NPU, CPU.\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to SaaS, Amazon, Engineer, Design, Docker, Cloud, Ruby, Senior, Junior, Backend, Digital Nomad, API, Marketing, Sales, Embedded, Video, C, Golang and Linux jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States
Apply for this job
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Frontpage
🏝 Remote jobs
🌗 Dark mode
👩💻 Hire remote workers
🚨 Post a remote job
🍱 Compact mode
✍️ Remote work blog new
Health insurance for teams
Hacker News mode
Safe for work mode
