{"id":3564198,"url":"https://alion.io/job/novus-hi-tech-robotic-systemz-engineering-manager-computer-vision-cloud","title":"Engineering Manager - Computer Vision & Cloud","company":{"id":183941,"name":"Novus Hi-Tech Robotic Systemz","domain":"novushitech.com","url":"https://alion.io/company/novushitech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":67000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":47},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Superset","optional":false},{"name":"Machine Learning","optional":true},{"name":"MQTT","optional":true}],"status":"live","first_seen_at":"2026-10-31T06:40:12Z","employer_posted_date":null,"last_verified_at":"2026-10-31T06:40:12Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Engineering Manager - Computer Vision + Cloud\n\nAbout the Role : \n\nWe are seeking a seasoned Engineering Manager to lead the development of our end-to-end Video Telematics and Cloud Analytics Platform.\n\nThis role demands a strong technical leader with experience across embedded systems, AI/ML, computer vision, cloud infrastructure and data analytics.\n\nYou will drive technical execution across multidisciplinary teams, overseeing everything from edge-based video analytics to cloud-hosted dashboards and insights.\n\nKey Responsibilities : \n\nPlatform Leadership : \n\n- Own and drive the development of the complete video telematics ecosystem, covering edge AI, video processing, cloud platform and data insights.\n\n- Architect and oversee scalable and secure cloud infrastructure for video streaming, data storage, OTA updates, analytics and alerting systems.\n\n- Define the data pipeline architecture for collecting, storing, analyzing and visualizing video, sensor and telematics data.\n\nCross-Functional Engineering Management : \n\n- Lead and coordinate cross-functional teams : \n\n1. Cloud/Backend : infrastructure, APIs, analytics dashboards and system scalability.\n\n2. AI/ML and Computer Vision : DMS/ADAS model deployment and real-time inference.\n\n3. Hardware/Embedded : firmware integration, camera tuning and SoC optimization.\n\n- Collaborate with product and business stakeholders to define the roadmap, features and timelines.\n\nData Analytics : \n\n- Work closely with data scientists to build meaningful insights and reports from video and sensor data.\n\n- Drive implementation of real-time analytics, fleet safety scoring and predictive insights using telematics data.\n\nOperational Responsibilities : \n\n- Own product quality and system reliability across all components.\n\n- Support product rollout, monitoring and updates in production.\n\n- Manage resources, mentor engineers and build a high-performing development team.\n\n- Ensure adherence to industry standards for security, privacy (GDPR) and compliance (e.g., GSR, AIS-140).\n\nRequirements : \n\nMust-Have : \n\n- Bachelor's or Master's degree in Computer Science, Electrical Engineering or a related field.\n\n- 7+ years of experience in software/product engineering, with 2+ years in a technical leadership or management role.\n\n- Deep understanding of cloud architecture, video pipelines, edge computing and microservices.\n\n- Proficiency in AWS/GCP/Azure, Docker/Kubernetes, serverless computing and RESTful API design.\n\n- Solid grasp of AI/ML integration and computer vision workflows (model lifecycle, optimization, deployment).\n\n- Experience with data pipelines, SQL/NoSQL databases and analytics tools (e.g., Redshift, Snowflake, Grafana, Superset).\n\nGood-to-Have : \n\n- Prior work on automotive, fleet or video telematics solutions.\n\n- Experience with camera hardware (MIPI, ISP tuning), compression codecs (H.264/H.265) and event-based recording.\n\n- Familiarity with telematics protocols (CAN, MQTT) and geospatial analytics.\n\n- Working knowledge of data privacy regulations (GDPR, CCPA)\nSkills\nEngineering Management, Computer Vision, Cloud, Machine Learning, AWS, Image Processing, ADAS, SoC, Embedded System, Automotive 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