ResearchEngineer

Job Duties

• Development of object detection algorithms in the context of autonomous driving.
• Implementing detection algorithms enabling autonomous vehicles to recognize various road objects (vehicles, pedestrians, traffic signs, obstacles, etc.).
• Ensuring high precision and power efficiency in detection algorithms.
• Deploying implemented models to production.
• Bringing cutting-edge advancements in the field of perception to autonomous vehicle production.
• Reviewing state-of-the-art research papers in computer vision and machine learning.
• Conducting experiments based on the academic papers.
• Identifying the most relevant scientific works for autonomous vehicle perception based on the obtained experimental results.
• Implementing promising approaches and deploying them in autonomous vehicle production.
• Sensor data fusion.
• Integrating data from diverse sensors (lidar, camera, radar) to enhance object detection quality.
• Development of perception metrics system.
• Code review.
• Reviewing colleagues’ pull requests, checking code accuracy, and proposing fixes when necessary.
• Assessing component architecture in pull requests and suggesting improvements.
• Presenting object detection development results in team meetings and discussing future goals and milestones.
• Analyzing feedback from the Quality Assurance team.
• Discussing potential bottlenecks and issues in perception technology.
• Implementing solutions to prevent future issues.

Job Requirements

• Bachelor’s Degree in Computer Science, Mathematics, or Engineering.
• At least 4 years of relevant work experience in software engineering.
• Proficient knowledge in Machine Learning.
• Thorough understanding of Computer Vision algorithms.
• Proficiency in programming languages such as C++ and Python.
• Profound knowledge in Linear Algebra, Calculus, and Probability Theory.
• Proficiency in deep learning frameworks like PyTorch and TensorFlow.
• Strong grasp of the workings of an autonomous vehicle’s pipeline.
• Demonstrated skills in reviewing scientific papers and implementing suggested algorithms.
• Comprehensive understanding of data obtained from sensors such as lidar, RGB camera, and radar.
• Demonstrated work experience in big data processing technologies (e.g., Spark).
• Demonstrated work experience in version control systems (e.g., Git).
• Demonstrated work experience in virtualization technologies like Docker and Kubernetes.
• Proven experience in data analysis.
• Strong communication skills.
• Strong problem-solving abilities.

Please note that the office is located in Austin, TX. At this time, the employer is not sponsoring candidates relocation and remote work options are not available.