Software Engineering Manager II - Unified Modeling (Machine Learning)

Location: Palo Alto, California; Dearborn, Michigan; Pittsburgh, Pennsylvania; or remote. Candidates must be legally authorized to work in the United States on a permanent basis. Visa sponsorship is available.

Base salary: $218,240–$327,360 USD annually for positions in California. Actual pay depends on work location, experience, education, training, and skills.

Company

hirify.global, a Ford subsidiary operating with a technology-startup model, develops hands-free advanced driver-assistance and autonomous driving technology for consumer vehicles.

What you will do

• Lead, hire, mentor, and support engineers through one-on-ones, performance reviews, and career development.
• Own sprint planning, roadmap execution, and delivery of unified multi-sensor models from prototyping through track and public-road deployment.
• Provide technical and architectural guidance on spatio-temporal deep learning, camera/radar/LiDAR fusion, and multi-task learning.
• Coordinate with motion planning, tracking and prediction, localization, ML infrastructure, data platform, and compute teams on interfaces, latency budgets, training, and runtime execution.
• Establish strong software engineering practices, reproducible ML workflows, and model validation for safety-critical automotive systems.

Requirements

• Bachelor’s degree and 8+ years of relevant experience, Master’s degree and 6+ years, or Ph.D. and 4+ years in computer science, computer engineering, robotics, electrical engineering, or a related field.
• 2+ years managing software or ML engineering teams, or 4+ years as a technical lead guiding complex machine learning perception projects.
• Expert knowledge of deep learning architectures, computer vision, and spatio-temporal modeling using frameworks such as PyTorch or TensorFlow.
• Proven experience developing and deploying computer vision models to production or physical robotic/embedded systems.
• Strong Python and C++ development skills, with knowledge of software design and testing principles.
• Ability to collaborate cross-functionally with autonomy consumers, data infrastructure teams, and systems engineers.

Nice to have

• Ph.D. focused on machine learning or computer vision.
• Experience developing autonomous vehicle perception systems or camera, radar, and LiDAR fusion architectures.
• Experience optimizing models for low-latency edge accelerators with TensorRT, ONNX, or custom inference runtimes.
• Familiarity with safety-critical software standards in automotive or robotics.

Culture & Benefits

• Independent, in-house development within a Ford subsidiary focused on scaling hands-free ADAS technology.
• Medical, dental, and vision insurance; health savings account with employer match; 401(k) match with immediate vesting; and life insurance.
• Paid parental and medical leave, unlimited vacation, and 13 paid holidays.
• Professional development reimbursement, monthly wellness stipend, adoption and surrogacy support, and backup child and elder care.
• Daily meals and refreshments in offices, commuter benefits, employee assistance, and team and employee-resource-group activities.
• Annual bonus programs and equity compensation are available subject to eligibility requirements.