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Software Developer; AI​/ML Focus

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Dreki Systems
Full Time position
Listed on 2026-11-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Robotics, Embedded Systems/ Firmware/ IoT, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 115000 USD Yearly USD 90000.00 115000.00 YEAR
Job Description & How to Apply Below
Position: Software Developer (AI/ML Focus)

Company Overview

Dreki Systems, LLC (Dreki) is a fast-growing technology development company focused on building next‑generation technologies for extreme and challenging environments. Our ongoing projects span drones for Earth science, robotic arms, smart battery systems, small satellite platforms, and advanced space weather monitoring tools.

We are looking for a passionate and capable Software Developer to join our dynamic engineering team and help us develop intelligent, scalable, and mission‑critical technology.

Because Dreki plans to bid on government work, all applicants must be US citizens who are eligible for a security clearance.

Job Description

As a Software Developer at Dreki, you will play a vital role in building core software systems and technologies that power our aerial, robotic, and space‑based platforms. Your work will involve full‑cycle software development — from system design and data pipelines to AI/ML model integration and embedded software deployment.

The successful candidate will be driven by curiosity, eager to work across multidisciplinary domains, and excited about deploying their code in the real world — on drones, robotic arms, satellites, and scientific payloads that will make a real difference.

What You’ll Be Working On
  • Real‑time drone control software integrating sensor fusion and autonomous navigation
  • AI/ML pipelines for robotic arm self‑calibration and predictive torque control
  • Web dashboards for live satellite telemetry and environmental data
  • Smart battery management systems with embedded AI for fault detection
  • Space weather analysis tools using time‑series ML models and scientific data feeds
  • Custom software stacks to interface with hardware we design in‑house
Key Responsibilities
  • Design, develop, test, and deploy software for robotic platforms, drones, and embedded systems
  • Implement AI/ML pipelines for predictive control, sensor fusion, object detection, anomaly detection, and data analytics
  • Collaborate with electrical, mechanical, and aerospace engineers to ensure seamless system integration
  • Develop simulation environments (e.g., Gazebo, PX4 SITL, ROS) to test control algorithms and mission logic
  • Build web or desktop interfaces for mission control and data visualization
  • Work with APIs and hardware communication protocols (e.g., CAN, UART, SPI, I2C, MAVLink)
  • Optimize performance of onboard computing platforms (e.g., NVIDIA Jetson, Raspberry Pi, STM
    32)
  • Maintain codebases, documentation, and CI/CD pipelines for software deployments
Required Qualifications
  • Bachelor’s degree in Computer Science, Software Engineering, or a related field
  • United States citizenship is required, with eligibility to apply for a government security clearance
  • Proficiency in Python and C/C++ (especially for embedded systems or high‑performance applications)
  • Strong understanding of software design patterns, version control (Git), and testing practices
  • Experience with one or more of the following frameworks/tools:
    • AI/ML:
      Tensor Flow, PyTorch, Scikit‑learn
    • Robotics/Drones: ROS/ROS2, PX4, Ardu Pilot, MAVSDK
    • Web/UI:
      Flask, FastAPI, React, Qt
  • Knowledge of Linux‑based systems and Docker environments
  • Demonstrated ability to work independently and deliver end‑to‑end solutions
Preferred Qualifications
  • 2–3 years of professional experience in software development
  • Familiarity with edge computing and deploying AI models on embedded devices
  • Familiarity with AI/ML architectures such as CNNs, RNNs, LSTM/BiLSTM and other neural network models relevant to robotics, drone control, and sensor data processing
  • Experience working with sensor data (IMU, LiDAR, GPS, cameras, etc.)
  • Contributions to open‑source projects or research in AI/robotics
  • Experience transitioning products to customers (conversion of R&D software to product…
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