The Robotics and Computer Vision Engineer will document ADAS software, reverse engineer legacy code, work with computer vision and robotics systems, and validate algorithm behavior.
Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence.
About the Role:
We're hiring a Robotics and Computer Vision Engineer to reverse engineer and document ADAS (Advanced Driver-Assistance Systems) software. If you’re skilled in understanding complex perception and control algorithms, and can turn legacy code into clean, structured documentation, this role is for you. You'll work across robotics, computer vision, and control systems (e.g., PI controllers) to support system improvements and compliance.
Key Responsibilities:
- Analyze and document ADAS algorithms (perception, decision-making, control)
- Reverse engineer legacy code in Python/C++ and create clear technical documentation
- Work with computer vision models, sensor data (camera, LiDAR, radar), and sensor fusion
- Validate algorithm behavior using data science tools and simulation environments
- Tune and analyze PI/PID control systems for vehicle motion and actuation
Requirements:
- Bachelor's/Master’s in Robotics, Computer Science, or related field
- Strong coding skills in Python, C and C++
- Understanding of ADAS systems and control theory
- Experience with reverse engineering or technical documentation
- Familiarity with ROS, Git, and simulation tools (e.g., CARLA, MATLAB/Simulink)
Bonus Points:
- Experience with machine learning or deep learning frameworks
- Knowledge of automotive safety standards (ISO 26262)
Bottom of Form
Similar Jobs
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Handle 100% inbound customer calls to retain and upsell EchoStar TV, internet, and wireless services. Use consultative selling to influence purchasing decisions, meet uncapped commission targets, and maintain honest, integrity-driven customer relationships. On-site full-time role with potential evening, weekend, and holiday shifts.
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Lead an on-site manufacturing/remanufacturing operation for set-top boxes with full P&L responsibility. Manage managers/supervisors, hiring, training, and performance. Implement Lean/Six Sigma, optimize workflows, enforce safety/quality compliance, use KPIs to drive productivity and inventory accuracy, and coordinate with Supply Chain, Engineering, and suppliers to resolve escalations.
Top Skills:
Erp SystemsGoogle WorkspaceManhattan ScaleMS OfficeOracleWarehouse Management Systems
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Handle 100% inbound customer calls to sell and retain TV, internet, and wireless services. Use consultative selling to influence purchases, meet commission targets, and maintain honest, high-quality customer interactions. On-site full-time role with potential for rapid promotion and uncapped commission.
Top Skills:
Smartphone
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
