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We Are Hiring

We are searching for world-class engineers with experience in autonomous vehicles, artificial intelligence, reinforcement learning and advanced simulations to join our fast-paced research and development team.

AUTONOMOUS VEHICLE SOFTWARE ENGINEERS

Experienced in Autonomous Vehicle development – Mapping, Localization, Controls, Planning and Perception.

Senior/Lead Computer Vision Engineer

We are searching for a Senior Computer Vision Engineer with a specialization in autonomy to join our fast-paced research team. As a  Computer Vision Engineer, you will be uniquely positioned in our team to work on large-scale autonomous problems and push forward the frontiers of AI technologies. You will be involved in all stages of algorithm development from inception and initial implementation to evaluation and all the way to a deployable in real robotics products. You will work with existing team members with expertise spanning reinforcement learning, autonomous vehicles, deep learning, computer vision, robotics.

 

Requirements:

  • Ph.D. in CS/EE or closely related field with computer vision focus
  • Classic computer vision, image processing skills,
  • Good at geometry,
  • Detection/tracking
  • Camera sensors, extrinsic calibration skills
  • Expert knowledge and hands-on experience in computer vision, lidar processing, radar processing, environmental modeling, and/or sensor fusion
  • programming languages such as C, C++, and Python.
  • projective geometry and creating scenes with images, SLAM. SfM Background

 

Preferred:

  • Experienced in shipping computer vision code.
  • Experience developing real-time LIDAR Perception and/or Computer Vision systems. Performance optimization for higher frame rates.
  • Train machine learning and deep learning models on a computing cluster to perform visual recognition tasks, such as segmentation and detection.
  • Strong ability to write to write high-quality code in C++.
  • Experience with at least one mainstream deep learning frameworks
  • Experience with GPU programming languages including CUDA or openCL.

 

SafeAI is a Silicon Valley-based startup company applying deep reinforcement learning and perception technologies to next-generation autonomous applications. All candidates should be willing to move to the South Bay Area. We do not work with recruiters.

Senior Simulation Engineer

We are searching for a Simulation Lead Engineer with a specialization in physics
modeling to join our fast-paced research team. As a simulations lead you will be
uniquely positioned in our team to work on large-scale reinforcement learning
algorithms and push forward the frontiers of AI technologies. You will be involved in all
aspects of the simulations and reinforcement learning infrastructure development, and
work with perception, computer vision, and scenario/scene simulations engineer from
inception and initial implementation to evaluation and all the way to a deployable in real
robotics products.
Requirements:
– Prior experience working on physics and simulation systems
– MSc/Ph.D. in computer science, electrical or robotics, or a related field; or
industry experience. (We also consider exceptional applicants with other
backgrounds.)
– Experience implementing and debugging physics solvers and computing contact
resolutions
– Strong understanding of 3D math 3D modeling, texturing, animation and physics
– Comprehensive understanding of object-oriented programming
– Strong background in C/C++/Python, could produce robust, well-tested C++
software (minimum 3+ years).

Preferred:
– Passion for physics simulation
– Prior experience with Gazebo or Mujoco (ISAAC, pyBullet is acceptable)
– Experience modeling collision and rigid body dynamics
– Understand physics, dynamics, and kinematics on simulations
– Proven theoretical and practical RL and simulation experience.
– Design, implement, evaluate and test 3D reconstruction algorithms and systems
with a focus on dense reconstruction, meshing, photogrammetry, SLAM, and
sensor fusion.
– Independently create extensive simulations/ simulated worlds
– Experience working independently in a shared AI/ML product implementation
setting

Deep learning/CNN/ ML Engineer

We are searching for a Deep Learning Engineer with a specialization in autonomy to join our fast-paced research team. As a  CNN/Machine Engineer, you will be uniquely positioned in our team to work on large-scale autonomous problems and push forward the frontiers of AI technologies. You will be involved in all stages of algorithm development from inception and initial implementation to evaluation and all the way to a deployable in real robotics products. You will work with existing team members with expertise spanning reinforcement learning, autonomous vehicles, deep learning, computer vision, robotics.

 

Requirements:

  • MS or Ph.D. in CS/EE with image processing backgrounds.
  • Machine learning theory and practical knowledge
  • Data engineering, skills in large cluster training backgrounds
  • Data pipeline setup and execute, good at AWS/GC and the ability to collect the label and execute the pipeline
  • Data focus on the training, debugging the training sessions
  • Inferencing on real systems

 

Preferred:

  • Update on latest CNN/LSTM technologies
  • Good at pytourch/CuDNN tools,  python, Tensorflow
  • Experienced in shipping CNN based products.
  • Strong ability to write to write high-quality code in C++.
  • Managing the annotation vendor or external parties and QC on the annotations

 

SafeAI is a Silicon Valley-based startup company applying deep reinforcement learning and perception technologies to next-generation autonomous applications. All candidates should be willing to move to the South Bay Area. We do not work with recruiters.

AI/ Robotics Software Engineer

We are searching for a C++ Software Engineer with a specialization in Robotics to join our fast-paced research team. As an AI/Robotics engineer, you will be uniquely positioned in our team to work on large-scale autonomous problems and push forward the frontiers of AI technologies. You will be involved in all stages of algorithm development from inception and initial implementation to evaluation and all the way to a deployable in real robotics products. You will work with existing team members with expertise spanning reinforcement learning, autonomous vehicles, deep learning, computer vision, robotics.

 

Requirements:

  • Bsc/MSc  in computer science, electrical or robotics, or a related field; or industry experience. (We also consider exceptional C++ coding applicants with other backgrounds.)
  • Good programming skills with C/C++, ROS
  • Could produce robust, well-tested C++ software
  • The ability to develop and implement complex algorithms efficiently
  • Experience working independently in a shared AI/Robotics product implementation setting

 

Preferred:

  • Prior experience with Robotics software or autonomous vehicles software
  • Independently create extensive software projects
  • Worked with a system and embedded software
  • Ability to work/understand physics, dynamics, and kinematics on simulations
  • Working knowledge using Unit Test Frameworks.
  • Experience with testing robotic devices and complex systems.
  • Robotics experience: motion planning, computer vision, kinematics, dynamics, ROS, industrial robots real-world sensor data.
  • Self-driving cars, motion planning, sensor fusion, Lidar, radar, camera, IMU, GPS, Apollo, embedded
  • Knowledge of OpenCV, PCL

 

SafeAI is a Silicon Valley based startup company applying deep reinforcement learning and perception technologies to next-generation autonomous applications. All candidates should be willing to move to the South Bay Area. We do not work with recruiters.

 

Localization and Mapping Engineer

We are searching for a GNSS Localization and Mapping Engineer with a specialization in autonomy to join our fast-paced research team. As a localization lead engineer, you will be uniquely positioned in our team to work on large-scale autonomous problems and push forward the frontiers of AI technologies. You will be involved in all aspects of the localization process, GPS based localization, work on the simulation with perception, control, and scenario simulations engineer from inception and initial implementation to evaluation and all the way to a deployable in real robotics products.

 

Requirements:

  • MSc/PhD in electrical or robotics, or a related field; or industry experience. (We also consider exceptional C++ coding applicants with other backgrounds.)
  • C++, ROS  programming experience
  • Fusing input data from multiple sensors including cameras, radars, LIDARs, GPS, IMU, and ultrasonic sensors.
  • Experience in data including GPS/IMU, LiDAR, and high-resolution imagery to create high-precision maps or develop novel algorithms for accurate vehicle localization
  • High-precision GNSS (RTK, PPP, OSR, SSR, RTCM)
  • Dead-reckoning with IMU and Odometry
  • Stochastic estimation/Kalman filtering
  • Localization/HD Maps
  • Understand SLAM/vSLAM/RTK and other localization algorithms.
  • Intuition for 3D transformations

 

Preferred:

  • Vehicle integration experience
  • Experience with robotics applications for GPS-denied navigation, localization, SLAM, computer vision, LiDAR processing, nonlinear optimization, Kalman filtering, or state estimation with factor graphs
  • Knowledge of latest techniques in SLAM
  • Experience with ROS, GTSAM, OpenCV, or PCL
  • Experience in 3D map from lidar point clouds and SLAM trajectories from multiple vehicles by fusing and aligning them.
  • Experience with large scale pose graph optimization, bundle adjustment, or other sparse nonlinear optimization problems
  • Expertise in the design of very large adaptive data structures and familiarity with mapping and localization

SafeAI is a Silicon Valley based startup company applying deep reinforcement learning and perception technologies to next-generation autonomous applications. All candidates should be willing to move to the South Bay Area. We do not work with recruiters.

Senior Control Algorithms Engineer

We are searching for a vehicle controls engineer with a specialization in autonomy to join our fast-paced research team. As a vehicle controls engineer you will be uniquely positioned in our team to work on large-scale autonomous problems and push forward the frontiers of AI technologies. You will be involved in all stages of algorithm development from inception and initial implementation to evaluation and all the way to a deployable in real robotics products. You will work with existing team members with expertise spanning reinforcement learning, autonomous vehicles, deep learning, computer vision, robotics.

 

Requirements:

  • MSc/Ph.D. in electrical or robotics, or a related field; or industry experience. (We also consider exceptional controls experience and C++ coding applicants with other backgrounds.)
  • Good programming skills with C/C++, ROS, could produce robust, well-tested C++ software
  • Strong background in classical control and modern control theories.
  • Expertise in classical control theory
    Experienced in controller design methodologies such as MCP, PID, and LQR
  • Familiarity with automotive communication protocols (CAN, CAN FD) and Vector CANape

 

Preferred:

  • High-level controls/path planning, RRT, D** type work
  • obstacle avoidance/ behavioral planning
  • Motivated to learn about self-driving cars, including topics such as ADAS sensors, camera, radar, lidar, ultrasonic, model predictive controls (MPC), machine learning
  • Knowledge in Reinforcement learning and simulations
  • Excellent mathematical foundation (curve fitting/non-linear optimization, etc.).
  • Gaussian process / DDP/ LQR based RL algorithms

 

SafeAI is a Silicon Valley-based startup company applying deep reinforcement learning and perception technologies to next-generation autonomous applications. All candidates should be willing to move to the South Bay Area. We do not work with recruiters.

High-level path planning, algorithm Engineer

We are searching for a planning engineer with a specialization in autonomy to join our fast-paced research team. As a high level path planning engineer you will be uniquely positioned in our team to work on large-scale autonomous problems and push forward the frontiers of AI technologies. You will be working together with control engineers to model vehicle and controller dynamics and use these models to characterize and accelerate controller improvements from inception and initial implementation to evaluation and all the way to a deployable in real robotics products. You will work with existing team members with expertise spanning reinforcement learning, autonomous vehicles, deep learning, computer vision, robotics.

 

Requirements:

  • MSc/PhD in electrical or robotics, or a related field; or industry experience. (We also consider exceptional controls experience and C++ coding applicants with other backgrounds.)
  • Good programming skills with C/C++, ROS, could produce robust, well-tested C++ software
  • Knowledge of search-based algorithms,path planning, A*,RRT, D** ,etc.
  • Obstacle avoidance, Behavioral planning,new motion planning algorithms for comfortable and safe trajectories efficiently
  • Understanding/Working knowledge of discrete and continuous optimization methods
  • Hands-on experience in robotic and/or vehicle system design and implementation
  • Knowledge of vehicle dynamics and modeling

 

Preferred:

  • AI-based path planning,
  • Reinforcement Learning
  • Experience in modern planning approaches including randomized search methods and trajectory optimization and modern model predictive control and other advanced control techniques
  • developing algorithms including path planning algorithms for lane keeping, proactive and passive lane change, automatic parking and etc. at different speed.
  • Gaussian process/ DDP/ LQR type algorithms
  • SLAM / Probabilistic Filtering experience
  • Solid background and knowledge in vehicle or robotic planning
  • Excellent expertise in robotic real-time trajectory planning in dynamic environments
  • Capability to read and implement latest approaches in trajectory planning

Sensor Fusion/Lidar Engineer

We are searching for a Sensor Fusion Engineer with a specialization in Camera/LiDAR/ RADAR to join our fast-paced research team. As a Sensor Fusion Engineer, you will be uniquely positioned in our team to work on large-scale autonomous problems and push forward the frontiers of AI technologies. You will be involved in all stages of algorithm development from inception and initial implementation to evaluation and all the way to a deployable in real robotics products. You will work with existing team members with expertise spanning reinforcement learning, autonomous vehicles, deep learning, computer vision, robotics.

 

Requirements:

  • MS or Ph.D. in CS/EE with computer vision, lidar, radar, camera sensor fusion
  • Projective geometry,  multiple view geometry, 3D computer vision, and SfM/SLAM.
  • Solid understanding on DCNNs and other math for sensor fusion
  • Geometric and DCNN based sensor fusion
  • C++ coding skills
  • Image processing/ signal processing background
  • Tracking, particle filters, activity recognition
  • Ego-space representations.
  • Develop perception algorithms for object detection, tracking, and classification
  • Experience with ROS, OpenCV, PCL, noise filters

 

Preferred:

  • Experienced in shipping computer vision code.
  • Experience developing real-time LIDAR Perception and/or Computer Vision systems. Performance optimization for higher frame rates.
  • Strong ability to write to write high-quality code in C++.
  • Experience with at least one mainstream deep learning frameworks
  • Experience with GPU programming languages including CUDA or openCL.

 

SafeAI is a Silicon Valley-based startup company applying deep reinforcement learning and perception technologies to next-generation autonomous applications. All candidates should be willing to move to the South Bay Area.

Autonomous Vehicle Engineering Intern

SafeAI is looking for an energetic, highly motivated mechanical engineering intern with an interest in autonomous vehicles to join our fast-paced research team in San Jose. Depending on experience, this can be a part-time or full-time internship position. Although preferred, a background in AVs is not necessary for this internship. Please detail your background and past projects you have worked on, as those are very important to our selection process.  As an intern, you will be uniquely positioned in our team to get a broad understanding of the different aspects of AV design and engineering. If you have a curiosity for AVs and are eager to get experience working in the industry on real vehicles, this is the internship for you!

 

Responsibilities:

  • Assist in the development of mechanical and electrical systems alongside SafeAI’s engineering team.
  • Assist in upkeep of the SafeAI Proving Ground (our vehicle test site in San Jose)
  • Complete a project relevant to your skillset that intersects with SafeAI’s development needs.

 

Requirements:

  • Currently enrolled and making progress towards an engineering associate’s/ bachelor’s degree program.
  • Good programming skills OR fabrication skills / automotive experience OR experience with electrical systems.
  • Strong work ethic and a drive to learn about new and emerging technologies
  • At least 10 hours of time commitment per week (can increase depending on your skill set and ambitions)
  • Must own a car / have access to your own transportation

 

Preferred:

  • Automotive or robotics background
  • AV experience
  • Highly detail oriented and quick to grasp new technologies
  • Prior internships/work in engineering organizations

 

Please reply with a resume detailing your education, previous work experience, and engineering projects you have worked on. Cover letter optional.

 

*This is a paid internship, 8-12 weeks in length*

 

SafeAI is a Silicon Valley-based startup company applying deep reinforcement learning and perception technologies to next-generation autonomous applications. SafeAI will only employ those who are legally authorized to work in the United States.  This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future are not eligible for hire.

 

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310 DeGuigne Dr
Sunnyvale, CA 94085

+00 123 456 7893