{"id":68085,"url":"https://alion.io/job/matroid-principal-software-engineer","title":"Principal Software Engineer","company":{"id":37106,"name":"Matroid","domain":"matroid.com","url":"https://alion.io/company/matroid","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":70,"open_postings":12,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":169000,"max_usd":343000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1093},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"AWS","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-08-14T21:24:40Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-16T04:56:48Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":62},"description":"About the role\nWe’re looking for a Principal Software Engineer to help build the next generation of Matroid’s computer vision platform, shaping its architecture and technical direction.\nYou’ll lead complex initiatives from definition through production, solve problems spanning computer vision, deep learning and infrastructure, and make the engineers around you more effective. You bring deep expertise in at least one of these areas and can demonstrate clear success and impact in your prior experience.\nThis is a hands-on role with broad technical and organizational influence.\nWhat you’ll do\nLead major initiatives spanning software, infrastructure, deep learning, and computer vision - from ideation and research through development, deployment, and iteration\nKeep up with latest capabilities in a fast-moving field and how best to incorporate them in our user-facing platform to solve real-world problems\nTurn ambiguous goals into pragmatic designs, milestones, and clear ownership\nMake consequential architectural decisions balancing velocity, reliability, maintainability, performance, and cost\nRaise the effectiveness of other engineers through technical direction, delegation, review, and mentorship\nPersonally prototype, code, and debug high-leverage problems without becoming the team’s bottleneck\nIdentify and remove recurring barriers to engineering execution\nHow you’ll be doing it\nOwning real-world production outcomes with high autonomy\nLeading through technical judgment, clear communication, and example\nDiagnosing problems across models, software, infrastructure, hardware, and data\nKnowing when to build a platform versus a focused solution; balancing short- and long-term velocity and risk\nWhat you bring to the table\nDeep expertise in either computer vision and deep learning or production systems and infrastructure \nPassion for learning new things; happy working across different parts of the stack and wearing different hats\nDemonstrated success building substantial technical systems alongside multiple engineers\nA track record of making sound architectural decisions and evolving complex systems pragmatically\nSignificant recent experience designing systems, writing production code, and debugging difficult cross-system failures\nStrong communication skills, particularly when framing technical decisions and tradeoffs\nBonus points if...\nYou have led engineers across both machine learning and infrastructure\nYou have experience with GPU systems, distributed systems, Kubernetes, AWS, MLOps, or production computer vision\nYou have hired or managed engineers while remaining deeply technical\nYou have significant open-source contributions, publications, or other public work demonstrating your impact in the field\nWhat we offer in return\nCompetitive pay and equity.\nThe chance to constantly work on stimulating intellectual challenges.\nGym membership reimbursement.\nFree lunch, healthy drinks, and snacks every day.\nMedical, dental, and vision insurance with 100% paid premiums.\nA flexible schedule that leaves time for all of your other interests.\nA budget for whatever hardware or software will make you most effective.\nRegular tech talks to discuss the latest advances in CV, DL and engineering\nMatroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. 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