{"id":646322,"url":"https://alion.io/job/lyte-senior-algorithms-engineer","title":"Senior Algorithms Engineer","company":{"id":30000,"name":"Lyte","domain":"lyte.ai","url":"https://alion.io/company/lyte","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"A","score":95,"open_postings":36,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":138,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":206000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":6333},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"PyTorch","optional":true},{"name":"Quantization","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-09-02T20:13:24Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-11-07T22:47:30Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":65},"description":"About Lyte\nLyte 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\nIf you’re excited about building impactful technology in a dynamic, hands-on environment, we’d love to hear from you!\nAbout the role\nWe are seeking a Senior Algorithms Engineer to research and develop the algorithms that power our high-performance sensing products for robotics and physical AI applications. The algorithms you build are consumed downstream by our physical AI perception team and by the customers who integrate our sensors. The role spans signal processing, detection and estimation, spectral analysis, camera and image processing, computer vision, and machine learning, applied across sensing modalities and increasingly combined with one another. You will take algorithms end to end: from research and prototyping, through validation in simulation and against real-world scenarios, to bring-up and integration into customer platforms. This is a deeply hands-on role. You will derive the algorithm, get it running, and then prove it holds up on real sensor data at scale, closing the gap between what simulation predicted and what the hardware actually does in the field. You will work closely with hardware, firmware, silicon, and system teams.\nWhat you'll do\nResearch and develop DSP and detection algorithms across the full sensor processing pipeline, including spectrum analysis, filtering, estimation, and detection\nDevelop camera and image processing algorithms, from raw sensor data through the imaging pipeline to downstream consumption\nDevelop computer vision algorithms for tasks such as detection, classification, segmentation, tracking, and depth and 3D/4D point-cloud processing\nDesign, train, and evaluate machine learning and AI models for sensor processing and multi-sensor fusion, and prepare them for deployment on the target platform\nCombine classical signal processing with learned components, and fuse information across sensing modalities\nPrototype, model, and validate algorithms in Python and C\nAnalyze large real-world and simulated sensor datasets to characterize algorithm performance and identify failure modes\nDefine KPIs and build the validation infrastructure used to measure algorithm performance across releases\nWork with the embedded and silicon teams to ensure algorithms map efficiently onto the target compute platform\nSupport bring-up and debug across the algorithm, firmware, and hardware boundary\nPartner with hardware, firmware, and system teams on requirements, architecture, and performance trade-offs\nDocument algorithm design, assumptions, and validation results for internal and customer use\nRequired Qualifications\nBachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field\n5+ years of experience in algorithm development and data analysis in robotics, physical AI, IoT, or multimodal sensor applications\n5+ years of experience in signal processing, including spectrum analysis, filter design, estimation and detection theory, and optimization\nExperience with radar or LiDAR sensor processing\nHands-on experience developing computer vision algorithms and applying machine learning to sensor data - clustering, tracking, classification, segmentation, and 3D/4D point-cloud processing\nExperience training and evaluating neural networks, including dataset curation and performance analysis\nDemonstrated experience taking signal processing, computer vision, or ML algorithms from research through to a working product\nProficiency in Python, with working knowledge of C or C++\nStrong data analysis and performance validation skills\nStrong debugging and problem-solving skills\nAbility to manage multiple tasks in parallel and make consistent progress with limited supervision\nPreferred Qualifications\nPhD in Electrical Engineering, Computer Science, or a related field\nFamiliarity with image signal processing (ISP) pipelines and tuning\nFamiliarity with stereo and multi-camera processing, including calibration, rectification, and depth estimation\nFamiliarity with ML and AI toolchains for training and deploying neural networks, such as PyTorch or TensorFlow, and with model optimization techniques including quantization and pruning\nFamiliarity with the constraints of running algorithms on embedded compute, such as DSP cores, hardware accelerators, or fixed-point arithmetic\nExperience with GPU or parallel programming\nExperience supporting customer integration and bring-up in robotics or industrial programs\nBenefits (subject to location and local regulations)\nCompetitive salary and equity \nComprehensive medical, dental, and vision coverage \n401(k) retirement plan \nFlexible vacation and time-off policy \nCollaborative, fast-paced, and inclusive work environment \nOpportunity to work on cutting-edge technologies with a highly cross-functional 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