{"id":1296741,"url":"https://alion.io/job/ambarella-algorithm-engineer-intern","title":"Algorithm Engineer Intern","company":{"id":1908827,"name":"Ambarella","domain":"ambarella.com","url":"https://alion.io/company/ambarella","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":96000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":15},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Embodied AI","optional":false},{"name":"Kubernetes","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Ray","optional":false},{"name":"ROS","optional":false},{"name":"Transformers","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-08-27T00:00:00Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-09-27T10:14:08Z","board_verified":false,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"AI Vision Processors For Edge Applications\nOur solutions make cameras smarter by extracting valuable data from high-resolution video streams.\nJob Description\nAlgorithm engineer interns at Ambarella are responsible for developing highly efficient algorithms for our self-driving car, humanoid robots and a wide variety of Ambarella’s future products.\nResponsibilities:\nDevelop deep learning and computer vision algorithms and systems.\nDesign, train, and optimize Transformer models and variants.\nStay up to date with the latest research and innovations in multi-modal large language models, embodied AI etc. \n.\nQualifications:\nPhD or master’s in computer science or electrical engineering or related field.\nHands-on experience with deep learning and its applications to computer vision (e.g. object detection and tracking, semantic segmentation, vision language models).\nHands-on experience with ROS 2 for robot control, sensor integration, communication, and system debugging.\nFamiliarity with AI compute stack: Kubernetes, Ray, vLLM and PyTorch, onnx etc.\nStrong programming skills in Python, C/C++, CUDA.\nExcellent communication skills.","description_format":"text","description_chars":1138,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Hardware","Processors, MCUs & AI Chips"],"lifecycle":[{"event":"open","at":"2026-09-26T09:36:35Z"}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":0.9,"p_active":0.48,"p_room":0.45,"age_days":34,"expected_fill_days":21,"reasons":["conf:67","velocity","win:tail","comp:junior"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ambarella-algorithm-engineer-intern","json_url":"https://alion.io/job/ambarella-algorithm-engineer-intern.json","meta":{"generated_at":"2026-09-30T06:37:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4663,"day_limit":5000,"remaining_today":337,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}