Mapping & Localization Software Engineer

San Francisco, California

Approach Venture LLC
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Mapping & Localization Software Engineer - Help Build the Brain of Next-Gen Defense Drones

Opportunity Summary

Join an elite team at the forefront of autonomy, building high-performance unmanned aerial systems (UAS) for defense applications in unpredictable, low-communication environments. This stealth-mode, venture-backed startup is combining breakthrough autonomy with resilient aerial platforms capable of operating in GPS-denied and harsh operational scenarios. As a Mapping & Localization Software Engineer, you'll design, implement, and optimize the perception layer that enables these vehicles to understand, map, and navigate complex, dynamic environments in real time. This is a rare opportunity to lead the development of mission-critical SLAM and localization software from early research through field deployment. You'll work across algorithm design, system integration, and performance tuning for real-world, defense-grade autonomy.

About Us

We are a rapidly growing, well-funded startup operating at the intersection of autonomy, robotics, and national defense. Our mission is to deliver autonomous aerial platforms that can operate effectively in highly contested and communication-limited environments. Our stealth aerial vehicles are designed for dynamic battlefield and tactical edge use cases, with core autonomy, perception, and communication systems developed entirely in-house. With deep technical roots and government backing, we're building fast and we're just getting started.

Job Duties
  • Architect and implement robust mapping and localization software optimized for low-SWaP autonomous platforms.
  • Develop real-time algorithms for SLAM, error correction, and global map alignment in degraded GPS or GPS-denied environments.
  • Build tooling and infrastructure to manage large-scale map data, transformations, and localization state across missions.
  • Apply non-linear optimization, probabilistic filtering, and spatial indexing methods to ensure system accuracy and reliability.
  • Collaborate with perception, navigation, and autonomy teams to integrate mapping systems with onboard decision-making pipelines.
  • Design experiments, benchmarking pipelines, and data collection workflows to validate performance in edge-case scenarios.
  • Evaluate sensor configurations (IMU, magnetometers, GNSS, RTK, stereo, LiDAR) and contribute to system-level design decisions.
  • Support testing and flight operations with field-deployable tools, diagnostics, and system tuning capabilities.
Qualifications
  • Master's degree in Robotics, Computer Science, Aerospace Engineering, or a closely related field.
  • 3+ years of experience building real-world software systems for mapping, SLAM, or localization in robotics or autonomous vehicles.
  • Proficiency in C and/or Python, with strong familiarity with robotics middleware and numerical computing libraries.
  • Deep understanding of coordinate systems, transforms, and spatial data structures.
  • Experience evaluating localization sensor performance and fusing diverse sensor data sources.
  • Strong systems thinking and ability to work across simulation, deployment, and post-mission analysis environments.
  • U.S. Person status (citizen or lawful permanent resident) required due to export control regulations.
Preferred Experience
  • Ph.D. in a relevant field focused on mapping, SLAM, or localization under uncertainty.
  • Prior contributions to software used in low-connectivity or GPS-denied field environments.
  • Familiarity with frameworks like ROS, Cartographer, GTSAM, or similar SLAM backends.
  • Background in large-scale spatial data processing, distributed compute, or offline/online loop closure methods.
  • Hands-on experience designing localization pipelines for drones, mobile robots, or military robotics platforms.
  • Experience building and tuning perception systems involving LiDAR, stereo vision, or multi-sensor fusion.
  • Knowledge of open-source datasets, SLAM benchmarking environments, and performance evaluation techniques.
Security Clearance
  • Must be able to obtain US Top Secret Security Clearance.
Why Join Us
  • High-impact role in a high-autonomy, low-bureaucracy engineering environment
  • Opportunity to build first-of-their-kind systems with real national security value
  • Access to hardware, lab space, test ranges, and field deployments
  • Competitive salary and early-stage equity participation
  • Comprehensive medical, dental, and vision coverage
  • Flexible scheduling and collaborative team culture
  • Mentorship, technical growth, and cross-functional exposure

Compensation Details

$135,000 - $195,000 plus generous equity
Date Posted: 10 April 2025
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