Technical Lead Manager (Sensing Systems Design & Validation)

Location: Sunnyvale, California; hybrid work with reporting to a specified location at least three times per week. Candidates within a 50-mile radius of Austin, Detroit, Seattle, Warren, Milford, or Sunnyvale are expected to report to that location three times per week. Travel is less than 25%.

Salary: $189,300–$290,700 per year, plus potential incentive pay.

Company

hirify.global develops advanced driver assistance and autonomous driving systems focused on safer, more accessible, and more capable transportation.

What you will do

• Set the technical direction for sensing-system evaluation frameworks measuring performance, robustness, scalability, and readiness.
• Integrate camera, LiDAR, RADAR, and sensor models into simulation and evaluation environments.
• Develop statistical, empirical, and physics-based methods for experiment design, failure analysis, and performance characterization.
• Generate and manage synthetic and recorded datasets for model training, evaluation, regression testing, and failure analysis.
• Build developer tools, APIs, command-line tools, notebooks, automated workflows, dashboards, metrics, and reporting for sensing experiments.
• Lead technical reviews, architecture initiatives, hiring, coaching, and development of a small engineering team.

Requirements

• Bachelor’s degree in computer science, computer engineering, electrical engineering, systems engineering, robotics, mathematics, or a related technical field.
• 10 or more years of progressive experience in software engineering, systems engineering, machine learning, perception, robotics, autonomous vehicles, or a related field.
• At least 1 year of experience leading a small engineering team and demonstrated experience coaching or managing engineers.
• Strong programming skills in C++ and Python, including production-quality software, testing, debugging, interfaces, and automation.
• Experience with machine learning workflows and at least one modern framework such as PyTorch or TensorFlow.
• Experience with sensing systems, simulation, validation, data processing, statistics, structured experimentation, and cross-disciplinary technical leadership.

Nice to have

• Master’s degree or Ph.D. in computer science, engineering, robotics, mathematics, or a related discipline.
• Experience with autonomous-vehicle perception, synthetic data, scenario-based testing, sensor simulation, or large-scale regression evaluation.
• Experience with sensor calibration, geometric computer vision, multimodal fusion, signal quality, timing synchronization, or sensor health monitoring.
• Experience with functional safety, SOTIF, requirements traceability, ROS, Linux, containers, continuous integration, distributed computing, or cloud data platforms.
• Experience building metrics, dashboards, experiment-management tools, or scalable data pipelines for sensor and vehicle datasets.

Culture & Benefits

• Safety, quality, data integrity, engineering rigor, and inclusive collaboration are emphasized.
• Employees balance first-principles reasoning with evidence from simulation, recorded data, and vehicle testing.
• Potential incentive pay based on company performance, job level, and individual performance.
• Eligibility for a company vehicle evaluation program after successful motor vehicle report review.
• Relocation benefits may be available for qualifying candidates under company policy.

Hiring process

• Applicants may complete role-related assessments and pre-employment screening where applicable.