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Applied Intuition

Builds software for autonomous vehicles

Network and Security Engineer - Defense

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA$150k - $200k /yr

About the Job

Requirements

  • At least 15 years of experience in network engineering and network security engineering, including significant experience architecting large-scale or mission-critical networks.
  • Deep expertise designing and operating high-throughput data center or high-performance computing networks, including routing, switching, quality of service, congestion control, and performance tuning.
  • Hands-on experience securing networks in regulated or classified environments, including segmentation, encryption, and identity-based access controls.
  • Strong working knowledge of security frameworks such as NIST 800-53 and the DoD Risk Management Framework.
  • Ability to script and automate with Python, Go, or Bash, and experience with infrastructure as code tools such as Ansible, Terraform, Nornir, or similar.
  • A track record setting technical direction for multi-engineer efforts as an architect, technical lead, or senior individual contributor, and mentoring other engineers.
  • A track record owning complex technical problems end to end and driving them to completion in a fast-paced environment.
  • Ability to obtain and maintain a U.S. security clearance; must be a U.S. citizen.
  • A BS or MS degree in computer science or electrical engineering, or equivalent experience.

Responsibilities

  • Architect and build high-bandwidth network fabrics (100/400/800GbE) to carry mixed radar, EO/IR camera, and vehicle bus data from the sensor edge to compute and storage.
  • Design deterministic, low-latency transport using Time-Sensitive Networking, precision time synchronization (PTP/IEEE 1588), RDMA/RoCEv2, and multicast for sensor distribution.
  • Bridge in-vehicle networks, including automotive Ethernet, CAN, and legacy military buses, with modern IP-based backbones in rugged, size- and power-limited platforms.
  • Design and implement security architectures supporting IL5/IL6 accreditation, including network segmentation, encryption in transit (MACsec, IPsec, and CSfC-style layered encryption), PKI, and cross-domain data flows.
  • Apply zero-trust principles across on-premises, tactical-edge, and cloud environments rather than relying on perimeter-only defenses.
  • Automate network and security configuration with infrastructure as code and build continuous compliance checks into deployment pipelines instead of manual, document-driven processes.
  • Build network observability through streaming telemetry, flow analysis, and security monitoring so problems and threats surface quickly.
  • Translate Navy and DoD guidance into practical engineering decisions, adopting the intent of standards while pursuing modern, maintainable solutions.
  • Work directly with customers, government stakeholders, and product teams across Applied to understand mission needs and deployment constraints.
  • Set the technical roadmap for defense networking and security, lead design reviews, mentor engineers across teams, and serve as a trusted technical voice with customers and government stakeholders.

Desired Qualifications

  • Experience with sensor data transport such as GigE Vision, VITA 49, or other high-rate radar and camera streaming protocols.
  • Familiarity with open architecture approaches such as MOSA, SOSA, and VPX-based systems.
  • Experience with SmartNICs, DPUs, DPDK, or eBPF for packet processing and in-network security.
  • Experience with Commercial Solutions for Classified (CSfC), Type 1 encryption devices, or cross-domain solutions.
  • Exposure to Navy and DoD frameworks such as DISA STIGs, the DoD Zero Trust Reference Architecture, and NAVWAR/NAVSEA cybersecurity guidance.
  • Experience with in-vehicle and avionics networks, including automotive Ethernet, ARINC 664/AFDX, and MIL-STD-1553.

About the Company

Applied Intuition

Builds software for autonomous vehicles

Applied Intuition builds software for automakers and operators developing autonomous vehicles and other machines, from passenger cars to industrial equipment. Its Tools for Vehicle Intelligence let engineers test driving behavior in simulated worlds, while Vehicle OS connects software inside a machine with development tools off the vehicle. The Self-Driving System supports driver assistance and fully driverless operation for passenger and commercial vehicles. It sells these systems to businesses and works alongside their engineers to integrate, validate and update vehicle software. Applied Intuition was founded in 2017 and is headquartered in Sunnyvale, California.

Company size
1,001-5,000
Company stage
Series F
Total funding
$1.2B
Headquarters
Sunnyvale, CA
Founded
2017

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