Senior Software Control Integration Engineer - Autonomous Vehicles

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real content. We need to parse the job posting. Job title: Senior Software Autonomous Vehicle Control Integration Engineer (but we don't repeat as heading). We need sections: maybe "About the role" (intro paragraph), "Responsibilities" (list of duties), "Requirements" (qualifications), "Skills" maybe separate? The posting includes "What You’ll Be Doing" (responsibilities), "What We Need To See" (requirements/qualifications), "Ways To Stand Out From The Crowd" (preferred qualifications/skills). Also there is salary/pay info: base salary range etc. Also mention equity and benefits. So we can have sections: About the role (intro paragraph), Responsibilities (list), Requirements (list), Preferred Qualifications (or Skills) (list), Pay (salary range), Benefits (mention equity and benefits). Schedule? Not given (full time mentioned but maybe not needed as schedule). We could include Schedule if we have info: "Time Type Full time". That's schedule info. So we can include Schedule section with "Full time". But rule: only include section if posting has real specific content. It does have "Time Type Full time". So we can include Schedule. We must not include boilerplate like EEO, legal, application instructions, cookie/navigation, etc. Also remove duplicated lines. Also remove "Job Requisition ID JR2025121 Job Category Engineering Time Type Full time" maybe we can incorporate Time Type into Schedule section, and Job Category maybe not needed. Job Requisition ID we drop. We need to preserve all substantive information. So we need to include details from intro: "We are now looking for a Senior Software Autonomous Vehicle Control Integration Engineer. As a Senior Software Control Integration Engineer, you will work on state-of-the-art autonomous vehicle technologies with leaders in AI / deep learning, computer vision, and vehicle control. You will be responsible for developing, maintaining and integrating autonomous auto control algorithms and software. You will develop solutions for vehicle trajectory tracking, model predictive control, and vehicle state estimation. You should have strong analytical skills, good communication, and interpersonal capabilities to work in a team and make a joint effort towards a common goal. Prior knowledge about vehicle control, vehicle ECU, Drive-by-Wire systems, and in-vehicle network and autonomous vehicles are highly valued." That's about the role. Responsibilities: bullet list from "What You’ll Be Doing". Let's extract each sentence separated by periods? The text: "Contribute to the development related to vehicle dynamics and control and support other teams in such areas, e.g. ACC/LK, urban driving, trajectory planning, vehicle operation limit estimation, emergency maneuvers (collision avoidance, mitigation), etc.Design technologies needed to build Autonomous Vehicle software stack, write new software modules from scratch that drive our vehicles.Provide feedback for overall system design to product level: system architecture, failure mode, system redundancy, etc.Build new performance offline and online benchmarks for vehicle control.Define and build tools to tune our vehicle dynamics control and manage calibration updates for various vehicle types.Drive integration efforts of control functionality across different platforms, support troubleshooting of control and actuation issues in vehicles.Develop and maintain vehicle test suites to detect control integration problems, develop and maintain automated tests to ensure SW quality and prevent regressions.Most importantly, work on groundbreaking and innovative technology, tackle difficult problems, and help build a world-class system!" We need to split into list items. Probably each sentence before a period that starts a new capital letter? We'll just make each phrase as separate

. We'll need to ensure we keep all info. Requirements: from "What We Need To See". List: BS, MS, or higher degree in Mechanical Engineering, Electrical Engineering, Computer Science or equivalent experience; 8+ years of work experience in relevant fields; Knowledge and hands-on application background in control theories, including at least three of the following fields: classical control, modern control, nonlinear control, MPC, optimal control, robust control, sliding mode control.; Understanding of state estimation techniques such as Luenberger observer, kalman filter, etc.; Ability to develop vehicle models and perform parameter identification and benchmarking.; Knowledge of high-level algorithm design and prototyping in simulation environments (Matlab/Simulink/Python) to product oriented implementation with C/C++. ; Experience in architectural design and software development with C/C++ for real-time embedded control systems, such as vehicle ECU systems.; Understanding of test and verification methodologies for automotive software, know-how in writing unit and system level tests.; Experience of integrating, tuning, and validating prototype and/or production control software with application, driver, and vehicle network layers.; Experience of development and/or usage of in-vehicle control software verification and calibration tools for autonomous vehicle applications. We'll make each as

. Preferred qualifications / Ways To Stand Out: list items: Hands-on experience in autonomous vehicle or advanced driver assist system development such as lane keeping, adaptive cruise control, etc.; Background in automotive safety concept, failure mode, common analysis tools such as FMEA; Experience in developing and launching vehicle safety critical control system products such as powertrain, steering system, brake system, advanced driver assist system, etc.; Understanding of deep learning and neural network concepts; 12+ years engineering experience at automotive OEM, tier-1 supplier or autonomous driving start-ups; PhD with relevant experience. Also there is a paragraph about NVIDIA AI etc. That's maybe fluff but could be considered "About the company"? Not required. Might be considered boilerplate? It's not EEO but it's promotional. Might be considered not substantive? It's about AI revolution. Could be considered fluff but maybe we keep as part of "About the role"? The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The AI paragraph is not boilerplate; it's describing NVIDIA's AI work. Might be considered part of company description, but not explicitly requested to keep. The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. So we should keep it if it's substantive. However, it's not directly about the job but about NVIDIA. Could be considered company overview. It's not duplicated. I'd keep it as part of "About the role" maybe as a separate paragraph. Pay: we have salary range: "Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits." We need Pay section with that info. Benefits: mention equity and benefits. Could combine Pay and Benefits? But we have separate headings allowed. We could have Pay section with salary range, and Benefits section with equity and benefits. Or combine. Since we have both, we can make Pay section with salary range, Benefits section with equity and benefits. Schedule: we have "Time Type Full time". So schedule: Full time. We must not repeat job title as heading. Also not put Job ID/requisition numbers as headings. We must output only HTML fragment, no /, no markdown fences. We'll produce something like:

About the role

We are now looking for a Senior Software Autonomous Vehicle Control Integration Engineer. As a Senior Software Control Integration Engineer, you will work on state-of-the-art autonomous vehicle technologies with leaders in AI / deep learning, computer vision, and vehicle control. You will be responsible for developing, maintaining and integrating autonomous auto control algorithms and software. You will develop solutions for vehicle trajectory tracking, model predictive control, and vehicle state estimation. You should have strong analytical skills, good communication, and interpersonal capabilities to work in a team and make a joint effort towards a common goal. Prior knowledge about vehicle control, vehicle ECU, Drive-by-Wire systems, and in-vehicle network and autonomous vehicles are highly valued.

Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun.

Responsibilities

• Contribute to the development related to vehicle dynamics and control and support other teams in such areas, e.g. ACC/LK, urban driving, trajectory planning, vehicle operation limit estimation, emergency maneuvers (collision avoidance, mitigation), etc.
• Design technologies needed to build Autonomous Vehicle software stack, write new software modules from scratch that drive our vehicles.
• Provide feedback for overall system design to product level: system architecture, failure mode, system redundancy, etc.
• Build new performance offline and online benchmarks for vehicle control.
• Define and build tools to tune our vehicle dynamics control and manage calibration updates for various vehicle types.
• Drive integration efforts of control functionality across different platforms, support troubleshooting of control and actuation issues in vehicles.
• Develop and maintain vehicle test suites to detect control integration problems, develop and maintain automated tests to ensure SW quality and prevent regressions.
• Most importantly, work on groundbreaking and innovative technology, tackle difficult problems, and help build a world-class system!

Requirements

• BS, MS, or higher degree in Mechanical Engineering, Electrical Engineering, Computer Science or equivalent experience
• 8+ years of work experience in relevant fields
• Knowledge and hands-on application background in control theories, including at least three of the following fields: classical control, modern control, nonlinear control, MPC, optimal control, robust control, sliding mode control.
• Understanding of state estimation techniques such as Luenberger observer, kalman filter, etc.
• Ability to develop vehicle models and perform parameter identification and benchmarking.
• Knowledge of high-level algorithm design and prototyping in simulation environments (Matlab/Simulink/Python) to product oriented implementation with C/C++.
• Experience in architectural design and software development with C/C++ for real-time embedded control systems, such as vehicle ECU systems.
• Understanding of test and verification methodologies for automotive software, know-how in writing unit and system level tests.
• Experience of integrating, tuning, and validating prototype and/or production control software with application, driver, and vehicle network layers.
• Experience of development and/or usage of in-vehicle control software verification and calibration tools for autonomous vehicle applications.

Preferred Qualifications

• Hands-on experience in autonomous vehicle or advanced driver assist system development such as lane keeping, adaptive cruise control, etc.
• Background in automotive safety concept, failure mode, common analysis tools such as FMEA
• Experience in developing and launching vehicle safety critical control system products such as powertrain, steering system, brake system, advanced driver assist system, etc.
• Understanding of deep learning and neural network concepts
• 12+ years engineering experience at automotive OEM, tier-1 supplier or autonomous driving start-ups
• PhD with relevant experience

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4,