In this role, you will:

• Design distributed data solutions that operate seamlessly across both traditional cloud-based server infrastructure and edge network topologies.
• Leverage autonomy to build systems that reliably bridge Denied, Degraded, Intermittent, and Limited (DDIL) networking scenarios.
• Collaborate with cross-functional robotics engineering teams on development of world models and distributed mapping solutions
• Champion the adoption of best practices while pragmatically weighing technical tradeoffs and velocity.
• Mentor and lead teammates in implementing designs according to operational requirements.
• Work with program and product managers to understand customer requirements and architect flexible solutions.

Minimum Qualifications

• Bachelor's degree in computer science, engineering, or related discipline and 5+ years relevant professional experience; OR 8+ years of relevant professional experience.
• Experience architecting and implementing scalable, distributed and loosely coupled microservices with Python, go, C++

Desired Experience & Qualifications:

• Proven experience architecting and implementing real-time, low-latency distributed communications for mesh topologies on unreliable networks.
• Experience with communications protocols (HTTP, Websocket, MQTT, and message brokers), with strong judgement on appropriate technology selection.
• Deep expertise in conflict resolution algorithms and distributed data consensus protocols
• Demonstrated ability to diagnose and resolve complex reliability and performance issues in distributed systems.
• Track record of successful deployments to both edge hardware and cloud platforms.
• Demonstrated leadership experience mentoring and guiding engineering teams.
• Experience collaborating with API client development teams across multiple platforms (web applications, mobile frameworks, and agent clients)
• Familiarity with military or tactical communication systems.
• Security-conscious mindset: experience implementing zero-trust security and compliance best practices with containerized and distributed environments.
• Experience with video and telemetry streaming with WebRTC or other real-time protocols.

Benefits Overland AI believes in creating a work environment that you look forward to embracing every day.

• The salary range for this position is $200K to $240K annually
• Equity compensation
• Best-in-class healthcare, dental and vision plans.
• Flexible PTO
• 401k with company match
• Parental leave