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Overnight Computer Science Startup Jobs in California

Computer Vision & Autonomy Engineer

Oakland, CA ยท On-site

$128K - $151K/yr

Computer Vision & Autonomy Engineer We are a rapidly growing technology startup focused on ... Master's or PhD in Robotics, Computer Science, or Aerospace Engineering with a focus on Computer ...

... startup environment. Program Details: Evolver is launching a small, highly selective summer ... Computer Science * Data Science & Analytics * Applied AI & Machine Learning * Enterprise ...

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Overnight Computer Science Startup information

What is the difference between Overnight Computer Science Startup vs Software Developer?

AspectOvernight Computer Science StartupSoftware Developer
CredentialsBachelor's in CS or related field, coding skillsBachelor's or higher in CS or related field, coding skills
Work EnvironmentFast-paced startup, flexible hours, remote optionsOffice or remote, standard hours, corporate setting
Industry UsageTech startups, innovation-focused companiesWide range of industries, corporate and tech firms
Search & Comparison IntentFocus on startup culture, overnight shifts, tech rolesStandard software development roles, career growth

Overnight Computer Science Startup roles typically involve working in fast-paced startup environments, often with flexible or overnight hours, focusing on innovative tech projects. Software Developers work in more established companies, with standard hours and a broader industry application. Both roles require similar technical credentials but differ in work environment and career context.

What are the most commonly searched types of Computer Science Startup jobs in California? The most popular types of Computer Science Startup jobs in California are:
What cities in California are hiring for Overnight Computer Science Startup jobs? Cities in California with the most Overnight Computer Science Startup job openings:

Computer Vision & Autonomy Engineer

Arxlight

Oakland, CA โ€ข On-site

$128K - $151K/yr

Other

Posted 3 days ago


Job description

Computer Vision & Autonomy Engineer

We are a rapidly growing technology startup focused on delivering next-generation drones for security and safety applications. Our company vertically integrates hardware and software to create leading edge capabilities in the UAV space, with a focus on saving lives.

As a Computer Vision & Autonomy Engineer, you will be joining the team responsible for the design, development, and implementation of high-speed perception and autonomy stacks capable of identifying and tracking highly dynamic objects. You will solve the unique challenges of high-dynamic sensing, where relative velocities are extreme and the margin for error is zero.

Key Responsibilities
  • Perception Pipeline Development: Develop robust real-time Deep Learning and Classical CV algorithms for classification, and tracking (e.g., YOLO, Transformer-based architectures) of highly dynamic objects.

  • High-Speed State Estimation: Implement Visual-Inertial Odometry (VIO) and filtering techniques to estimate target 3D trajectories and "Time-to-Go" under high-G maneuvers.

  • GPS Denied Perception Stack: Create "GPS-denied" navigation solutions and anti-jamming vision pipelines that maintain autonomy when external signals are compromised.

  • Guidance Logic: Design "Vision-Based Pursuit" laws and Proportional Navigation (PN) enhancements that translate visual target states into actionable steering commands.

  • Real-time Deployment: Optimize algorithms for ultra-low latency execution on low-power devices, ensuring the "sensor-to-actuator" delay is minimized.

  • Deterministic Benchmarking: Profile and eliminate "long-tail" latency spikes in the autonomy stack to ensure a deterministic sensor-to-actuator response time.

Required Qualifications
  • Education: Master's or PhD in Robotics, Computer Science, or Aerospace Engineering with a focus on Computer Vision or Autonomous Systems.

  • Dynamic Vision Skills: Expert knowledge of object tracking (KCF, SORT, DeepSORT) and the geometry of moving camera platforms.

  • Real-Time Software: Proficiency in C++20 and CUDA for high-throughput image processing, and Python for training ML models.

  • Mathematics: Deep understanding of 3D geometry, Kalman Filtering (EKF/UKF), and the physics of relative motion.

Preferred Skills
  • EO/IR Camera: Experience working with Long-Wave Infrared (LWIR) or Mid-Wave Infrared (MWIR) sensors.

  • Embedded Systems: Experience deploying models on NVIDIA Jetson Orin or FPGA-based vision processing.

  • High-Fidelity Simulation: Proficiency in NVIDIA Isaac Sim, Unreal Engine 5, or Gazebo to generate synthetic data for rare "corner-case" scenarios.

Control Integration: Understanding of how perception latency affects the stability of flight control loops.