Perception Engineer
WFA Digital Insight
The demand for skilled perception engineers in the autonomous vehicle industry has grown significantly, with a focus on developing robust algorithms for object detection and sensor fusion. As the industry continues to evolve, companies like ISEE are at the forefront, pushing the boundaries of innovation. With the global autonomous vehicle market projected to reach $556 billion by 2026, professionals with expertise in computer vision and machine learning are in high demand. Before applying, candidates should be aware of the complex technical challenges involved in this role and be prepared to collaborate with cross-functional teams to drive innovation.
Job Description
About the Role
The Perception Engineer role at ISEE is a critical component of the company's autonomous driving systems development. As a key member of the perception team, you will be responsible for providing daily technical guidance and execution support on research and development tasks. Your expertise in designing and developing algorithms for object detection, localization, and mapping will be essential in driving the company's autonomous vehicle systems forward.The perception team at ISEE is a collaborative and dynamic group of professionals who are passionate about developing innovative solutions for complex technical problems. As a senior member of the team, you will be expected to lead algorithm design discussions, contribute novel research ideas, and collaborate with team members to conduct research data analysis.
The role of a Perception Engineer at ISEE is not only technically challenging but also highly rewarding. You will have the opportunity to work on cutting-edge projects, develop and deploy robust perception algorithms, and contribute to the growth and development of the company's autonomous vehicle systems.
What You Will Do
- Research, design, and develop algorithms for autonomous driving systems to solve challenging problems in ISEE's Perception and Sensor stack
- Prototype and deploy robust perception algorithms on ISEE's vehicle fleet in areas of object detection, localization, and mapping
- Develop systems for multimodal sensor fusion and calibration using multiple grade sensors, including cameras, LiDARs, GNSS, IMUs, and RaDARs
- Invent and design new algorithms, tools, and models in emerging research areas to improve complex autonomous vehicle systems
- Develop simulations for ISEE's systems and identify discrepancies between virtual and real-world performance for future development and analysis
- Contribute novel research ideas and collaborate with team members to conduct research data analysis
- Lead algorithm design discussions to solve technical problems for these systems
- Stay up-to-date with current research in the field of computer vision and pattern recognition and share relevant research with the team
- Collaborate with cross-functional teams to drive innovation and develop innovative solutions
What We Are Looking For
- Master's degree in Electrical Engineering, Computer Engineering, Electrical and Computer Engineering, or Computer Vision
- At least 4+ years of non-academic work experience in a related field
- Strong expertise in computer vision, machine learning, and software development
- Experience with programming languages such as C++, Python, and MATLAB
- Knowledge of sensor fusion and calibration techniques
- Experience with autonomous vehicle systems development and deployment
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
Nice to Have
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Knowledge of computer vision libraries such as OpenCV
- Experience with Agile development methodologies
- Familiarity with cloud-based platforms and containerization using Docker
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work on cutting-edge projects and contribute to the growth and development of the company's autonomous vehicle systems
- Collaborative and dynamic work environment
- Professional development opportunities and support for ongoing education and training
- Flexible working hours and remote work options
- Access to the latest technologies and tools
- Recognition and reward for outstanding performance and contributions
How to Stand Out
- tip: Make sure to highlight your experience with computer vision and machine learning in your resume and cover letter, as these skills are essential for the Perception Engineer role.
- tip: Be prepared to discuss your experience with sensor fusion and calibration techniques, as well as your knowledge of autonomous vehicle systems development and deployment.
- tip: Showcase your ability to collaborate with cross-functional teams and drive innovation through your previous work experience.
- tip: Familiarize yourself with the latest research in computer vision and pattern recognition, and be prepared to share relevant research with the team.
- tip: Consider creating a portfolio that demonstrates your expertise in developing and deploying robust perception algorithms, and be prepared to discuss your approach to problem-solving and algorithm design.
- tip: Don't be afraid to ask about the company culture and values during the interview process, and be prepared to discuss how you can contribute to the growth and development of the company's autonomous vehicle systems.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.