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Cyngn, Inc.

Senior Perception Software Engineer

Mountain View, CA, United States

$198,000 to $218,000 USD / year

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Job details

Pay: $198,000 to $218,000 USD / year
Experience: 5+ years of professional experience developing perception software for autonomous vehicles or robotics platforms.
Posting language: English
Posted: Nov 9, 2026

Original job description

About Cyngn, Inc. Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you.

About the role The Senior Perception Software Engineer owns key components of Cyngn’s autonomy perception stack, leading the design, development, and deployment of object detection, tracking, and sensor fusion algorithms and the testing and validation infrastructure that supports them, for autonomous vehicles operating in complex indoor and outdoor environments. This role sets technical direction for owned subsystems, mentors other engineers, and partners across teams to deliver production-ready perception capabilities. What you'll do

Lead the design, implementation, and deployment of object detection, tracking, and sensor fusion algorithms for autonomous vehicles, from research through production.
Own the architecture and technical direction of assigned perception subsystems, making sound trade-offs among accuracy, latency, compute, and robustness, including in challenging conditions such as variable lighting, dust, reflective surfaces, and degraded sensors.
Define perception performance metrics and evaluation frameworks, and drive the tooling and infrastructure for continuous testing, performance validation, and system diagnostics.
Build and curate ground-truth and regression datasets that enable automated backtesting of perception changes.
Lead testing and deployment of production software in simulation environments and on production vehicles, driving root-cause analysis and resolution of perception failures found in field and simulation testing.
Break down complex projects into milestones, estimate effort, and lead execution with other engineers to meet product-driven timelines in a fast-paced startup environment.
Mentor engineers and provide high-quality design and code reviews that raise the team’s engineering standards.
Partner with simulation, hardware, systems, and QA teams to define requirements, interfaces, and validation plans.

Qualifications

BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a similar technical field, or equivalent practical experience.
5+ years of professional experience developing perception software for autonomous vehicles or robotics platforms.
Expert programming skills in modern C++ (C++17 or newer), including production-grade, multithreaded, real-time applications on Linux.
Demonstrated track record of shipping perception systems on deployed vehicles or robotic platforms, including LiDAR point cloud processing and camera-based computer vision and/or machine learning.
Strong fundamentals in linear algebra, probability, optimization, and 3D geometry.
Strong understanding of state estimation and sensor fusion for multi-object tracking.
Experience leading technical projects and mentoring engineers.
Strong written and verbal communication skills.

Bonus Qualifications

MS or PhD in a relevant field.
Proficiency in Python and deep learning frameworks such as PyTorch.
Experience with autonomous industrial vehicles, such as AGVs, AMRs, or autonomous forklifts and tuggers.
Experience optimizing and deploying models on embedded or GPU compute platforms (e.g., CUDA, TensorRT).
Experience with ROS / ROS 2 and perception libraries such as OpenCV, PCL, Eigen, or Ceres.
Track record of research contributions, such as patents, white papers, or peer-reviewed publications.

Benefits & Perks

Health benefits (Medical, Dental, Vision) through Aetna, Kaiser Permanente, and Guardian, with multiple plan tiers to choose from
Ancillary benefits including accident, critical illness, and hospital indemnity plans (Voya)
Company-paid basic life insurance, plus voluntary (supplemental) life for you and your dependents
Short-term and long-term disability insurance
HSA and FSA (Health & Dependent Daycare)
Employee Assistance Program
1:1 Health Concierge
Company 401(k)
Commuter Benefits
Flexible PTO policy
Paid Parental Leave
Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Equal Opportunity Employer Cyngn is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, physical or mental disability, genetic information, marital status, familial status, military or veteran status, citizenship status, or any other characteristic protected by applicable federal, state, or local law. This policy applies to all aspects of employment, including recruitment, hiring, compensation, benefits, training, promotion, discipline, and termination. If you require accommodation during the application or interview process due to a disability, please let us know and we will work with you to provide reasonable accommodation.

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More about this job

Skills

Research
Industrial software
Root cause analysis
Computer science
Robotics
Electrical engineering
C++
Linux
Machine learning
Estimating
Coaching
Communication skills
Python
Deep learning
PyTorch

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