While experience in one or more of the following areas is a strong plus: large-scale model training, research in 3D computer vision.

You will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment.

Key responsibilities include designing, implementing, and training large-scale diffusion models for generating 3D worlds, developing and experimenting with large-scale diffusion models to add novel control signals, adapting to target aesthetic preferences, or distilling for efficient inference, collaborating closely with research and product teams to understand and translate product requirements into effective technical roadmaps, contributing hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment, continuously exploring and integrating cutting-edge research in diffusion and generative AI more broadly, acting as a key technical resource within the team, mentoring colleagues, and driving best practices in generative modeling and ML engineering.

Ideal candidate profile includes 3+ years of experience in generative modeling or applied ML roles, extensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of diffusion models and other generative models, deep expertise in at least one area of generative modeling, strong history of publications or open-source contributions involving large-scale diffusion models, strong coding proficiency in Python and experience with GPU-accelerated computing, ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes, comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.

Nice to have includes contributions to open-source projects in the fields of computer vision, graphics, or ML, familiarity with large-scale training infrastructure, experience integrating machine learning models into production environments, led or been involved with the development or training of large-scale, state-of-the-art generative models.

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Responsibilities:

• Lead the development of next Gen Advanced Driver Assistance Systems (ADAS) simulation environment using C++
• Develop ADAS simulation methods, processes, tools and documentation to integrate multiple ADAS features to support feature design, verification and validation
• Manage the deployment and release of the next Gen ADAS simulation environments on CI/CD pipeline to test ADAS software on every code change
• Support the integration of vehicle, sensor and feature control models and software to support the delivery of ADAS features
• Support on-going CAE correlations efforts
• Support the development of plan to transition physical vehicle testing to simulation-based tests
• Contribute to team results through ownership in agile software development process

Qualifications:

• B.S. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechatronics or a related field or a combination of education and equivalent experience
• 3+ years of experience with programming in C++ (11 or above), Python or other Object-Oriented Programming (OOP) languages in Windows or Linux environments

Our Preferred requirements:

• M.S. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechatronics or a related field
• 3+ years of Experience with Linux or other POSIX Operating Systems
• 3+ years of Experience with networking (TCP/IP)
• 3+ years of developing software using modern development tools like Bazel, Docker, Git, GitHub Actions, Kubernetes, and Jenkins
• 3+ years of developing software on Cloud platforms like Google Cloud, AWS or Azure
• 8+ or more years of relevant experience in software design, including debugging, performance analysis, and automation of testing designs
• Experience developing platforms or tools for internal customers.
• Experience with AI, cloud, simulation, accelerated computing, and Python ecosystem
• Experience with optimizing large scale software architecture through concurrency or GPU technology
• Experience with Robot Operating System (ROS) or other middleware
• Experience with vehicle systems and their role in ADAS simulation

Benefits:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

Salary:

This position is a salary grade 6 through 8 and ranges from $83,000 to $160.000.

Workplace:

This position is a hybrid (onsite four days per week) for candidates who are in commuting distance to a Ford hub location.

Job Info:

• Job Identification59584
• Job CategoryPD Operations and Quality
• Posting Date03/05/2026, 07:01 PM
• Degree LevelBachelor's Degree or equivalent
• Job ScheduleFull time
• Locations1200 Sawgrass Corporate Pkwy, Sunrise, FL, 33323, US(Hybrid)
• Preferred DegreeMaster Degree
• RemoteNo

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