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General Dynamics Information Technology
General Dynamics Information Technology
H1B vīzas sponsorsKonsultācijasLoģistikaVeselības aprūpe
General Dynamics Information Technology (GDIT) sniedz konsultāciju, digitālās modernizācijas un lietojumprogrammu pakalpojumus valdības un aizsardzības organizācijām. Uzņēmuma darbība aptver mākslīgo intelektu, mākoņdatošanu, kiberdrošību, augstas veiktspējas skaitļošanu un kvantu tehnoloģijas, kā arī kritiski svarīgas programmas loģistikas un piegādes ķēžu pārvaldības, izlūkošanas un iekšējās drošības jomā. Uzņēmums darbojas arī konsultāciju, veselības aprūpes un loģistikas nozarē, bet personāla piesaistē uzsver daudzveidīgas komandas un darbinieku labbūtību. GDIT amati var būt piemēroti speciālistiem, kurus interesē jauno tehnoloģiju izmantošana sarežģītu publiskā sektora un valsts drošības izaicinājumu risināšanā.
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Vakances uzņēmumā

Senior AI Autonomy Engineering SME, UAS and Drone Swarming

Lead the design of autonomous UAS, drone swarms, and command-and-control solutions for defense missions. Advance AI and machine learning capabilities across Department of Defense environments.

USAmerikas Savienotās Valstis
170 144 $ – 218 500 $ / gads
AttālinātiPilna slodzeVecākais speciālistsVadošais speciālistsNepieciešamā Valoda: angļuProgrammatūras inženieris
AnsibleC++KiberdrošībaKubernetesLinuxPythonPyTorchTensorFlowTerraformTypeScript

Apraksts

  • Design and build autonomy capabilities for unmanned aircraft, drone swarms, robotic platforms, and command-and-control systems.
  • Create real-time decision algorithms for navigation, sensor fusion, coordinated behavior, target recognition, and mission execution.
  • Build multi-agent systems for distributed tasking, decentralized control, and swarm intelligence.
  • Run and optimize AI and machine learning models on embedded edge processors and constrained autonomous platforms.
  • Build and operate large-scale autonomy simulation environments.
  • Perform modeling and simulation, digital-twin validation, hardware-in-the-loop evaluation, and flight testing.
  • Connect autonomous platforms with Department of Defense command-and-control systems, tactical networks, and mission-planning tools.
  • Create APIs and data interfaces for system observability, command execution, and human-machine teaming.
  • Apply cybersecurity safeguards and improve resilience to GPS denial, electronic warfare, adversarial conditions, and degraded sensors.
  • Guide and mentor AI, robotics, and software engineers.
  • Work with program leaders, operators, mission owners, and technical authorities.
  • Assess new autonomy technologies and lead rapid experiments and prototypes.
  • Maintain autonomy algorithms and pipelines spanning sensor input through real-time decisions.
  • Direct deployment, monitoring, tuning, and sustainment of autonomous platforms.
  • Oversee AI and machine learning model governance, version control, and auditability.
  • Lead vulnerability remediation, patching, survivability enhancements, and DevSecOps and autonomy safety guidance.

Prasības

  • Bachelor’s degree in electrical engineering, computer engineering, computer science, robotics, aerospace engineering, or a related STEM field.
  • At least 15 years of engineering experience, including substantial work in AI and machine learning, robotics, UAS autonomy, or multi-agent systems.
  • Proven experience developing autonomy capabilities for unmanned or robotic platforms.
  • Expert knowledge of motion planning, path optimization, obstacle avoidance, mapping and SLAM, swarming, and multi-agent coordination.
  • Experience with PyTorch, TensorFlow, JAX, and ONNX.
  • Experience with ROS or ROS 2, MAVLink, PX4 or ArduPilot, or custom autonomy stacks.
  • Experience with Gazebo, AirSim, FlightGoggles, or comparable simulation tools.
  • Experience with NVIDIA Jetson, VPUs, tactical compute nodes, and embedded Linux.
  • Experience with data links, tactical protocols, mesh networks, and publish-subscribe architectures.
  • Proficiency in Python, C++, real-time systems, containerization, DevSecOps, and CI/CD pipelines.
  • Experience with Kubernetes, Helm, GitLab CI, and ArgoCD.
  • Experience with Terraform, Pulumi, and Ansible.
  • Knowledge of AI and machine learning security and Department of Defense cybersecurity compliance.
  • U.S. citizenship is required.
  • An active Top Secret clearance is required, along with the ability to obtain and maintain TS/SCI clearance.

Priekšrocības

  • Medical plan choices, including options with Health Savings Accounts.
  • Dental plan options.
  • Vision coverage.
  • 401(k) plan with company matching contributions.
  • Flexible work weeks where available.
  • Paid leave covering vacation, sick and personal time, holidays, parental leave, military leave, bereavement, and jury duty.
  • Typically 15 paid leave days per calendar year.
  • 10 paid holidays each year.
  • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees.
  • Short-term and long-term disability coverage.
  • Life insurance.
  • Accidental death and dismemberment coverage.
  • Personal accident insurance.
  • Critical illness insurance.
  • Business travel and accident insurance.
  • An AI-powered career tool to identify career steps and learning opportunities.
  • Support for internal career moves.
  • Opportunities for growth, wellness, and professional development.
  • Remote work or telecommuting option.

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AI Developer Technology Engineer, Embodied AI

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1001 – 5000 Darbinieki
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