Automotive Robotics Jobs in Curitiba (Remote)

Automotive robotics roles focus on building, testing, and improving robot-assisted manufacturing and autonomy workflows used in modern vehicle programs. At Rex.zone, these remote, full-time engineering opportunities connect you with AI/ML training pipelines and robotics software development: perception, sensor fusion, motion planning, controls, simulation, and safety validation. You will collaborate across hardware and software teams to deliver production-grade robotics features, improve model performance, ensure training data quality, and support QA evaluation for robotics perception systems. Explore remote, contract, freelance, and full-time pathways across computer vision, NLP-enabled tooling, LLM-assisted development, and content safety labeling for human-in-the-loop review where applicable.

Automotive Robotics Engineer (Remote, Curitiba Focus)

LinkedIn Job Metadata: Title: Automotive Robotics Engineer | Date: 25-02-2026 | Company: Rexzone | Country: US | Remote Type: Remote | Employment Type: FULL_TIME | Experience Level: Mid-Senior | Industry: Technology | Job Function: Engineering | Skills: Automotive robotics, ROS2, Perception, Sensor fusion, Computer vision, Motion planning, Control systems, Simulation, Python, C++, Safety validation | Salary Currency: USD | Salary Min: 63360 | Salary Max: 126720 | Pay Period: YEAR Role Overview: You will design and deliver robotics capabilities for automotive applications, spanning robot-assisted manufacturing and autonomy-adjacent perception modules. The work includes integrating sensors and perception models, building simulation-first validation loops, and hardening systems for reliability, latency, and safety. You will also partner with data operations teams to improve training data quality for perception, including annotation guidelines compliance, QA evaluation, and prompt evaluation workflows for LLM-assisted tooling used in debugging and reporting. Key Responsibilities: ["Develop robotics software components using ROS2, C++, and Python for automotive robotics systems", "Build perception pipelines: camera/LiDAR preprocessing, detection/tracking interfaces, and sensor fusion", "Implement motion planning and control loops; tune performance for real-time constraints", "Create simulation and test harnesses (SIL/HIL) to validate edge cases and regression performance", "Define data collection and labeling requirements to improve model performance improvement in perception", "Support training data quality initiatives: annotation guidelines compliance, QA evaluation, and dataset audits", "Collaborate with cross-functional engineering teams to meet safety validation and release criteria", "Document architectures, test results, and operational runbooks for deployment and monitoring"] Qualifications: ["Mid-Senior experience in robotics or automotive software engineering", "Strong C++ and Python; experience with ROS2 and robotics middleware", "Hands-on understanding of computer vision and sensor fusion fundamentals", "Experience with simulation, test automation, and performance profiling", "Familiarity with safety validation concepts and engineering quality processes", "Comfort working with AI/ML model evaluation signals and data-centric iteration (training data quality, labeling feedback loops)"] Preferred: ["Experience with autonomy stacks, perception model integration, or production robotics in manufacturing", "Knowledge of dataset curation, data labeling workflows, and QA evaluation for perception", "Exposure to LLM tooling for engineering productivity, prompt evaluation, and structured reporting", "Experience working with distributed teams and remote collaboration best practices"] What You Will Work With: ["ROS2, C++, Python", "Computer vision pipelines and sensor interfaces", "Simulation and CI-based regression testing", "Dataset review tools, labeling feedback, and quality metrics", "Engineering documentation and incident management practices"] How to Apply: ["Apply via Rex.zone using your updated resume and project portfolio", "Include links to GitHub, publications, or demos showcasing robotics, perception, or simulation work", "Highlight production constraints you’ve handled: latency, safety, reliability, and test coverage"]

About Rex.zone and How Hiring Works

Work Modes and Search Modifiers Covered

Frequently Asked Questions

Q: Are these Automotive Robotics jobs actually remote if they mention Curitiba?
Yes. The roles are marked Remote and can be performed remotely; “Curitiba” is used as a location focus/SEO modifier and may reflect team timezone overlap or collaboration preferences rather than an onsite requirement.
Q: What kind of automotive robotics work is typical for this role?
Typical work includes robotics software development, perception integration (computer vision and sensor fusion), motion planning and control, simulation-based validation, and safety validation processes for production readiness.
Q: How does AI/ML training data relate to automotive robotics engineering?
Perception modules often rely on ML models that improve through data-centric iteration. Engineers frequently define data requirements, review training data quality, and use QA evaluation and annotation guidelines compliance to drive model performance improvement.
Q: Do I need experience with RLHF to apply?
Not necessarily. RLHF is more common in LLM workflows, but similar human-in-the-loop evaluation patterns can appear in robotics tooling (prompt evaluation for LLM-assisted debugging/reporting) and in dataset review processes.
Q: What skills should I highlight for Automotive Robotics jobs?
Highlight ROS2, C++/Python, perception, sensor fusion, computer vision, motion planning, control systems, simulation, and safety validation. Also include any experience with data labeling feedback loops and QA evaluation for perception datasets.
Q: Is this posting for full-time employment?
Yes. The employment type is FULL_TIME, and the remote status is explicitly Remote.
Q: What salary range is listed for this role?
The listed range is USD 63360 to USD 126720 per year, depending on scope, experience, and interview outcomes.
Q: How do I apply through Rex.zone?
Apply via Rex.zone with your resume and a portfolio (GitHub, demos, or case studies). Emphasize production constraints you’ve solved (latency, reliability, test coverage) and your experience validating robotics systems in simulation and real-world testing.

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