Career Area:
Engineering
Job Description:
The Senior SOTIF Engineer will be a key member of the AI Product Assurance team, responsible for leading and executing activities related to Safety of the Intended Functionality (SOTIF) for complex, AI-enabled and autonomous systems. This role focuses on ensuring that risks arising from functional insufficiencies, performance limitations, andreasonably foreseeablemisuse are systematically identified, mitigated, andmonitoredacross the product lifecycle.
As a senior technical contributor, you will work across engineering, product, and safety teams to define SOTIF strategies, develop safety arguments, and generate credible evidence supporting product release and safe operation. The role requires deep technicalexpertisein complex systems, autonomy, AI/ML, and international safety standards, combined with the ability to translate theory into scalable, industrial practice.
What You Will Do:
Lead the definition and execution of SOTIF activities for AI-enabled, autonomous, and safety-related control systems across development and operation phases.
Develop andmaintainthe SOTIF lifecycle aligned with ISO6135 (EMM equivalent ofISO 21448)and integrated with functional safety, systems engineering, and AI safety activities.
Identifyhazards, functional insufficiencies, triggering conditions, and reasonably foreseeablemisuse at vehicle, system, and element levels.
Define Operational Design Domains (ODDs), behaviors, scenarios, and boundary conditions, includinginsufficiencies, limitations, and degradations.
Drive scenario-based safety analysis, including known and unknown scenario discovery, coverage assessment, and risk-based prioritization.
Specify and evaluate SOTIF mitigation measures, including functional modifications, restrictions, monitoring strategies, and handover mechanisms.
Define verification and validation strategies combining simulation, structured testing, data-driven analysis, and in-field monitoring.
Develop quantitative and qualitative safety metrics, including scenario coverage, criticality, discovery rates, and residual risk arguments.
Contribute to the creation of safety cases, assurance arguments, and technical construction files supporting product release decisions.
Support in-service monitoring, incident analysis, and continuous assurance through data collection, observers, and runtime safety mechanisms.
Collaborate with AI, autonomy, and platform teams to ensure tool credibility, data quality, and traceability of evidence across the lifecycle.
Participate in internal and external standardization efforts and ensure alignment with evolving safety and AI standards.
Education requirement:
Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or a related field from an accredited institution.
What Skills You Will Have:
Problem Solving:
- Working knowledge in automotive, machine, or industrial embedded network communication software development fields.
- Capable of developing and executing a data acquisition plan for detect radar and camera sensors.
- Ability to execute projects and optimize development strategies based on a large repository of data
- Familiarization with core robotics principles
Software Development Life Cycle:
- Strong understanding of software engineering principles
- Familiarity with Agile methodologies and iterative development practices
- Ability to write clean, maintainable, and scalable code across the full stack
- Skilled in debugging, testing, and deploying software in production environments
Programming:
- Skilled at programming in C++
- Proficient in object-oriented design and software architecture
- Knowledgeable in real-time systems and embedded programming
- Comfortable working with version control tools like Git
Consideration for Top Candidates:
- Deep expertise in Safety of the Intended Functionality (SOTIF) and it's application to Autonomous and AI-enabled systems.
- Understanding of regulatory compliance standards for safety including but not limited to ISO21448, ISO26262, ISO19014, PAS8800.
- Experience with AI/ML systems, including dataset limitations, generalization issues, out-of-distribution behavior, and monitoring strategiessupporting verification and validation strategies for complex systems, including simulation, statistical testing, shadow mode, and field data analysis.
- Master's or PhD in related field preferred.
- Proven experience with safety analysis methods and evidence-based assurance in an engineering environment preferred.
Additional Information:
- This position requires the candidate to work full-time (5 days a week) at the Pittsburgh, PA office.
- Additional locations are Irving TX, Tucson AZ and Mossville IL.
- Relocation assistance is available for this position.
- Visa sponsorship is available with this position.
- This position may require up to 10% travel.
Summary Pay Range:
$112,710.00 - $183,140.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement
* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa sponsorship is available for eligible applicants.
Posting Dates:
June 5, 2026 - June 16, 2026
