Senior Software Engineer, Perception - Autonomous Vehicles

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer, Perception - Autonomous Vehicles in the United States.

This role offers the chance to develop cutting-edge perception software for autonomous vehicles. The Senior Software Engineer will design, implement, and optimize perception components, contributing directly to fully functional autonomous driving systems. You will work on embedded platforms, integrating deep learning models and ensuring software robustness, efficiency, and reusability. The position involves collaboration with a team of world-class engineers and researchers, applying both real and synthetic data to improve system performance. Candidates will gain experience across the full software development life cycle, including testing, verification, and deployment, while contributing to innovative solutions that advance autonomous driving technology.

Accountabilities:

·         Design, develop, and productize perception software components for autonomous systems.

·         Execute the full software development life cycle (SDLC) including coding, testing, and integration.

·         Deploy and optimize deep learning perception models on embedded platforms for real-time applications.

·         Develop software verification plans, quality assurance procedures, and maintain documentation.

·         Debug, upgrade, and improve existing systems using both real-world and synthetic benchmark data.

·         Collaborate closely with a team of engineers and researchers to ensure software meets high standards of robustness, efficiency, and reusability.

:

·         BS, MS, or PhD in Computer Science or a related field, or equivalent experience.

·         8+ years of professional experience on embedded platforms for real-time applications.

·         Strong programming skills in C++ and Python.

·         Experience with test-driven development and design-based software engineering approaches.

·         Proficiency with software engineering tools and ability to document requirements and specifications.

·         Excellent communication and collaboration skills within a highly interactive team environment.

Preferred Qualifications:

·         Experience with CUDA and SIMD programming.

·         Hands-on deployment of deep learning (DNN) models to embedded or robotic platforms.

·         Familiarity with deep learning frameworks such as TensorFlow or PyTorch.

·         Experience using simulated or synthetic data to improve model accuracy.

·         Knowledge of integration and testing on real hardware platforms.

·         Competitive base salary: $184,000–$287,500 USD for Level 4, $224,000–$356,500 USD for Level 5.

·         Eligibility for equity and performance-based incentives.

·         Comprehensive healthcare coverage including medical, dental, and vision.

·         Opportunities for professional growth and skill development.

·         Work on high-impact projects in autonomous driving, AI, and embedded systems.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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