Senior Software Engineer - Metrics for Release, Implementation

About the role

Torc Robotics is at the forefront of developing Level 4 autonomous semi-truck technology, aiming to revolutionize freight transportation and logistics. As a Senior Software Engineer within the Metrics for Release (MFR) team, you will be responsible for translating high-level safety, performance, and system requirements into robust, scalable, and production-ready software solutions. Your work will directly impact how the company measures, validates, and ensures the safety and reliability of autonomous systems before deployment. This role requires close collaboration with requirements, systems, validation, and engineering teams to develop pipelines, services, and tools that support the safe and efficient release of autonomous vehicles. You will be instrumental in building systems that process vehicle telemetry, derive meaningful metrics, and automate validation workflows, thereby contributing to the company's mission of safe autonomous driving at scale.

Key facts

The Metrics for Release (MFR) team focuses on developing and maintaining the infrastructure necessary for measuring and validating the performance and safety of autonomous systems. This involves creating data pipelines, validation tools, and metrics computation systems that are integral to the release process. The team works closely with vehicle data, telemetry, and validation results to ensure that all safety and performance standards are met before deployment. The position offers a competitive salary range, reflecting the seniority and expertise required for the role, and provides an opportunity to work on cutting-edge autonomous vehicle technology in a collaborative environment.

What you'll do

• Convert high-level safety, performance, and system requirements into detailed technical designs and production implementations that are scalable and reliable.
• Develop, optimize, and maintain Python-based services and AWS data pipelines that support metrics collection, validation, and analysis workflows essential for autonomous vehicle validation.
• Collaborate with cross-functional teams - including requirements engineers, systems engineers, validation specialists, and software developers - to ensure accurate translation of system needs into software solutions.
• Analyze vehicle telemetry data, logs, and validation results to extract meaningful signals and metrics that reflect the vehicle's performance and safety status.
• Implement validation logic and automation workflows that integrate with existing testing and evaluation pipelines, ensuring seamless and repeatable release processes.
• Troubleshoot and resolve issues within data pipelines, telemetry data flows, and metric computation systems to maintain high reliability and data integrity.
• Contribute to the design and development of workflow orchestration systems, such as Temporal or similar frameworks, to automate complex validation and release workflows.
• Participate in code reviews, design discussions, and documentation efforts to promote best practices and continuous improvement within the team.
• Support the deployment and monitoring of data pipelines and services in cloud environments, ensuring high availability and performance.
• Assist in developing tools and dashboards that visualize metrics, validation results, and system health to facilitate decision-making and release readiness assessments.
• Stay current with advancements in cloud computing, data engineering, and autonomous vehicle validation techniques to bring innovative solutions to the team.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Robotics, Electrical Engineering, Mechanical Engineering, Systems Engineering, or a related field, with a minimum of 6 years of relevant professional experience; or a Master's degree with at least 3 years of experience; or a PhD with a minimum of 1 year of experience.
• Proven proficiency in Python development, with extensive experience in building, maintaining, and optimizing backend services and data pipelines.
• Deep understanding of AWS cloud services, including S3, Lambda, ECS, and Step Functions, and experience deploying and managing cloud-based data workflows.
• Demonstrated experience in developing or maintaining data pipelines, telemetry processing systems, or backend infrastructure supporting large-scale data analysis.
• Strong ability to interpret ambiguous or high-level requirements and translate them into functional, scalable software solutions.
• Skilled in debugging complex systems, utilizing logs, telemetry data, and data analysis techniques to identify and resolve issues efficiently.
• Excellent problem-solving skills, with a collaborative mindset and experience working effectively within cross-disciplinary teams.
• Familiarity with automation and orchestration frameworks, such as Temporal or similar workflow management tools, is highly desirable.
• Experience working with telemetry, event data, or time-series datasets, especially in automotive or autonomous systems environments, is a plus.
• Knowledge of safety-critical or high-reliability systems, and understanding of standards applicable to autonomous vehicle validation, is advantageous.

Nice to have

• Experience with workflow orchestration tools like Temporal or comparable systems.
• Background working with telemetry data, event logs, or time-series datasets, especially in automotive or autonomous vehicle contexts.
• Prior experience in developing validation, metrics, or release management systems for complex software or hardware systems.
• Exposure to environments that demand high safety standards, such as aerospace, automotive, or medical device industries.
• Familiarity with continuous integration and continuous deployment (CI/CD) pipelines and related automation tools.
• Knowledge of data security, ITAR regulations, and compliance requirements relevant to autonomous vehicle data handling.

Skills & tools

• Python programming language, with a focus on backend development and data processing.
• AWS cloud platform, including S3, Lambda, ECS, and Step Functions.
• Data pipeline development, management, and troubleshooting.
• Telemetry data analysis, event processing, and time-series data handling.
• Workflow orchestration systems such as Temporal or similar frameworks.
• Cloud deployment, monitoring, and performance optimization.
• Version control systems like Git.
• Familiarity with containerization technologies such as Docker.

Practical notes

• The salary range for this position is between $160,800 and $193,000 USD, commensurate with experience and qualifications.
• Candidates must be eligible to work in the United States; visa sponsorship is not specified.
• The role is based on-site at the company's location, with the listing indicating it is on-site rather than remote.
• The position involves working in a collaborative environment with cross-disciplinary teams focused on autonomous vehicle validation and safety.
• Applications will be accepted until the position is filled, so early application is encouraged.
• Candidates should be prepared to engage in technical interviews, including coding exercises and system design discussions, as part of the hiring process.
• The company offers a dynamic work environment focused on innovation, safety, and advancing autonomous vehicle technology.
• Candidates are encouraged to demonstrate experience with cloud-based data pipelines, telemetry processing, and validation workflows during the application process.