About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
Join our SW Systems and Safety - Behaviors & Autonomy Team, where we operate at the intersection of safety, autonomy, data, and large-scale system design. Our team works across mapping, AI/ML, validation, and software engineering to define and evaluate the Operational Design Domain (ODD) and ensure our autonomous systems perform safely and reliably in the real world.
We are seeking a Senior Autonomy Systems Engineer with strong experience in data-driven system design, autonomy workflows, and large-scale data analysis. This role focuses on defining how we leverage data across mapping, simulation, and real-world logs to characterize operating environments, derive requirements, and guide system-level decisions.
This is a highly cross-functional role that blends systems thinking with hands-on technical depth in Python, cloud data access, and autonomy data pipelines.
What You’ll Be Doing
Lead ODD characterization efforts by analyzing large-scale datasets across real-world, simulated, and mapped environments
Define system-level strategies for leveraging map data (HD/SD), telemetry, and autonomy logs to assess operating conditions
Design and implement Python-based workflows to extract, transform, and analyze data from cloud-based systems
Work across internal and supplier-provided datasets (mapping, perception, vehicle data) to derive actionable insights
Define KPIs and metrics that evaluate safety, performance, and release readiness of autonomy systems
Translate data insights into system-level requirements, design decisions, and validation strategies
Collaborate with mapping, perception, AI/ML, and validation teams to align on data usage and system behavior
Drive technical direction across teams by connecting data, system architecture, and real-world performance
Identify gaps in data, tooling, and system design and propose scalable solutions
What You’ll Need to Succeed
BS + 6+ years, MS + 3+ years, or PhD + 1+ years in Robotics, Computer Science, Systems Engineering, or related field
Strong experience working with autonomy, robotics, or large-scale distributed systems
Proficiency in Python for data analysis, scripting, and system workflows
Experience accessing and processing large datasets from cloud environments (AWS, GCP, Azure)
Experience working with mapping systems (HD maps, SD maps, or similar structured spatial data)
Strong system-level thinking and ability to translate data into design decisions
Experience working cross-functionally with software, data, and systems teams
Ability to operate in ambiguous environments and drive clarity through technical direction
Bonus Points
Experience in autonomous vehicles or ADAS systems
Familiarity with ODD frameworks, scenario generation, or 6-layer environment modeling
Experience with safety frameworks (SOTIF, ISO 26262, AI safety)
Experience working with large-scale data pipelines or distributed systems
Exposure to simulation environments or autonomy validation workflows
Perks of Being a Full-time Torc’r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- AD+D and Life Insurance
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102642
Skills Required
- BS+ 6+ years of experience, MS+ 3+ years of experience, or PhD 1+ years of experience
- 4+ years of experience in hardware, software, or systems engineering
- Experience with C/C++ or Python
- Familiarity with Cloud environments (AWS, GCP, Azure)
What We Do
Torc Robotics is an independent subsidiary of Daimler Truck AG, a global leader and pioneer in trucking. Founded in 2005 at the birth of the self-driving vehicle revolution, we have 17 years of experience in pioneering safety-critical, self-driving applications. Torc offers a complete self-driving vehicle software and integration solution and is currently focusing on commercializing self-driving trucks.
Why Work With Us
Every Torc’r is unique. The traits that define and motivate us to save lives are what unite us. At Torc, we recognize that technical prowess is only part of the equation. Our team includes people with a consistent drive to accomplish great things. We look for those who don’t let ego get in the way of teamwork.
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