Within the first 6 months, you will rapidly begin to work with cross-functional and global teams within Product Development including research and advanced engineering to conduct ISO 26262 Functional Safety analysis of challenging new and carry-over technology, including powertrain, infotainment, active safety, and automated technologies.

Within the first year, you will become a subject matter expert in Ford ISO 26262 processes, methods, tools, and information (formal and on the job training will be provided).

Results in becoming a technical Functional Safety and systems engineering key resource in Product Development.

Within the first year, you will become a leader in creating and continuously improving innovative, simple and safe advanced system designs. Work with other Functional Safety engineers to complete foundational and future Functional Safety analysis.

Work with other Functional Safety Engineers to create globally common safety ratings, processes, methods, tools, training, and help to accelerate global adoption of SysML based Functional Safety analysis at Ford.

Results in moving fast and continuously innovating great systems engineering into key technology at Ford.

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The ADAS Virtual Verification and Validation group develops and applies state-of-the-art tools and methods to validate ADAS features, including Driver-in-the-Loop (DiL) simulators that are interactive high-fidelity systems that integrate a human driver with vehicle simulation models and systems in real-time immersive virtual environment. These simulators aid improvements in driver interactions and experience; helping to deliver ADAS features with quality and robustness to improve customer satisfaction.

Our engineers support the latest ADAS features such as Blue Cruise (BC), System Initiated Lane Change (SILC) and Lane Keeping Aid (LKA).

Responsibilities

• Lead Driver-In-Loop (DiL) Simulator development and testing to support the development and sign-off of ADAS features
• Contribute to development of simulation platform to support cross-tool SiL, DiL, HiL virtual validation methods
• Develop new DiL solutions for feature development and validation, combining simulation with traditional vehicle testing methods on vehicle simulators
• Closely coordinate with feature development engineers to support execution of design verification plans to ensure proper feature-level performance.
• Conduct customer-level algorithm and calibration clinic studies to satisfy vehicle-level performance requirements
• Create virtual roads and scenarios for robust testing of ADAS features (Regulatory, Functional, Performance, Real World).
• Develop and integrate camera, radar, and ultrasonic sensor stimulation and simulation tools to support testing of new and existing ADAS features.
• Collaborate cross-functionally with technical specialists, product owners, developers, simulation, HIL, and vehicle test teams to establish tools and test procedures that improve efficiency of and enable new test cases for vehicle level testing.
• Develop Python tools for data collection and analysis
• Grow and demonstrate technical leadership amongst a team of highly energized and collaborative peers in a fast-paced environment.

Qualifications

• Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field or a combination of education and equivalent experience
• 2-5 years of experience developing/testing features in related vehicle systems (vehicle dynamics, body, electrical, chassis, powertrain)
• 2-5 years of experience with at least one scripting or programming language (e.g., C, C++, Python, JavaScript, etc.)

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Develop system interconnect diagrams and define wire harnesses that connect electronic equipment. Conduct peer-level and cross-discipline design reviews. Build up and test of engine system components through lab, ground, and flight tests. Root cause analysis in support of field operations.

The ideal candidate will have a Bachelor's Degree in Electrical Engineering or equivalent, with 5+ years of experience designing, testing, and troubleshooting complex board designs. They should have a strong background in circuit design, including components, and mixed-signals design. Experience with sensor integration, design experience in UAS, power electronics, converter design, or powertrain, and competence with test equipment such as oscilloscopes, logic analyzers, thermal chambers, current-probes, and automation of tests.

Familiarity with standard interfaces such as CAN, I2C, SPI, etc. Comfortable with a variety of electronic CAD tools (Altium preferred, Eagle and others acceptable). Experience in EMI testing. Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred qualifications include performed environmental testing in previous positions for military and/or commercial industry, previous experience working on BMS, knowledge and test execution per MIL-STD-810 and/or MIL-STD-461 US.

The salary range for this role is $140,000-$213,000 USD per year. Highly competitive equity grants are included in the majority of full-time offers. Additionally, Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans at little to no cost to you, income protection, generous time off, caregiver and wellness leave, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and retirement savings plan.

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Your responsibilities will include defining and documenting vehicle-level acceptance criteria for ADAS features, leading/supporting the development of verification plans and verification methods, collaborating with global functional partners to meet system and vehicle level performance requirements, and cascading system-level requirements to functional partners.

You will also lead/support the development and sign-off of ADAS features on vehicle programs, support feature calibration studies to satisfy vehicle-level performance requirements, develop MATLAB and CAN tools for data collection and analysis, identify opportunities to utilize HiL and CAE methods for feature calibration and performance verification, plan and execute real-world evaluations of ADAS features via vehicle/HIL/virtual testing and identify system problems and issues, and support and coordinate root-cause analysis with internal functions and external suppliers to ensure delivered system achieves feature requirements.

You will benchmark competitors and monitor public domain requirements.

You will have a Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related technical field, and experience in developing features in the Driver Assistance domain using radars, cameras, lidars, ultrasonic sensors and other related vehicle systems (body, electrical, chassis, powertrain).

Familiarity with actuators and control systems is also required.

A Master's degree in Engineering (Electrical, Mechanical, Aerospace, Mechatronics, Software, Computer Science, AI, Systems Engineering, Product Development) or a related technical field is preferred, as well as experience applying Systems Engineering principles, experience with robotic verification and testing methods, troubleshooting experience with electromechanical systems, experience with differential GPS equipment, experience using typical automotive interfaces: CAN, CANFD, Autosar, Auto-Ethernet, etc., experience using Vector CANape, CANalyzer and dSPACE Controls Desk or similar tools, experience with Matlab/Simulink, experience in verification techniques (design verification methods, vehicle data acquisition/analysis), experience with virtual validation methods (HIL/MIL/SIL), strong leadership skills, passion for quality, passion to improve customer satisfaction, good communications and project management skills, strong oral & written skills, ability to work both independently and take initiative when necessary, and strong teamwork & interpersonal skills.

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Key responsibilities include:

• Architectural Development: Lead the definition and implementation of new systems engineering architectures specifically for powertrain systems, including engine, transmission, and electrified vehicle control systems.
• Process Standards: Contribute to global policies, procedures, and process documentation for MBSE and systems engineering within the powertrain domain.
• Technical Design Reviews: Lead Technical Design Reviews (TDRs) for complex systems and system-level modelling, and drive technical discussions to balanced conclusions.
• Technical Subject Matter Expert: Serve as the primary technical lead for resolving complex systems engineering challenges in architecting, development, and detailed design.
• MBSE Oversight: Provide oversight within the propulsion controls and calibration area for the creation and maintenance of Core MBSE artefacts, including modelling standards and Requirements/Test Procedures.

The ideal candidate will have a Bachelor's degree in Electrical, Mechanical, or a related engineering field, with a minimum of 10 years of engineering experience, including at least 5 years focused on Systems Engineering, Systems Architecture, or Model-Based Systems Engineering (MBSE).

Additional requirements include:

• Demonstrated expertise in systems thinking, Failure Mode Avoidance (FMA), and formal Systems Engineering methodologies to solve complex problems.
• Proven history of evaluating and improving engineering processes, with a demonstrated ability to challenge and replace non-value-added deliverables.
• Ability to lead and align multi-disciplinary teams and effectively communicate technical positions to all levels of management.
• Proven history of evaluating technical choices and directing teams based on technical ideals balanced with industrialisation realities.

Preferred qualifications include:

• Master's degree in Systems, Electrical, Mechanical, or a related engineering field.
• INCOSE certification (CSEP or ESEP) or OMG certifications in MBSE modelling.
• Prior automotive and powertrain-specific experience is desired but considered secondary to the mastery of systems engineering principles.
• Proficiency in UML and SysML modelling languages preferred. Experience in Model-Based Systems Engineering development utilising MagicDraw/3DX toolkit is preferred.
• Basic software/script development in Python or other development environments is preferred.

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