Senior Software Engineer

Description:

Job description

MUST BE A US CITIZEN (Please do not apply if you are not)

Company Introduction

At BlackSea Technologies, we don't just innovate; we revolutionize.

We are a close-knit team of creative and innovative thinkers specializing in full lifecycle development of cutting-edge maritime technology. At BlackSea, you won't just find a job; you'll find a community of experts who aspire to solve diverse and complex challenges. Be part of a company where your ideas matter, your expertise is valued, and your contributions make a real impact. Together, we are not just sailing; we are charting a course to push boundaries of what's possible.

Salary Range: $175,000 - $200,000 annually

Hybrid position

Position Functions

• Build and Own Autonomy Systems
• Design, develop, and deploy core autonomy software across perception, navigation, and control
• Own software that runs onboard unmanned surface vessels in real-world conditions
• Build systems that operate reliably in degraded environments
• Lead System Architecture and Integration
• Architect end-to-end autonomy pipelines
• Integrate maritime sensors into autonomy stacks
• Define interfaces across systems
• Deliver Real-World Capability
• Lead integration from lab to sea trials
• Debug across hardware, OS, and network layers
• Own outcomes in the field
• Scale Autonomy Through Software
• Build high-performance real-time systems
• Implement CI/CD and testing frameworks
• Optimize for reliability and resilience
• Infuse AI Into Engineering Workflows
• Lead adoption of AI across development lifecycle
• Implement AI-assisted tools and workflows
• Integrate AI into CI/CD and toolchains
• Automate repetitive engineering tasks
• Establish safe and effective AI practices
• Mentor and Raise the Bar
• Provide technical leadership
• Establish engineering standards
• Mentor engineers and elevate capability

What It Takes to Win Here

• Think in systems from sensor to mission outcome
• Build software for real-world conditions
• Design for failure and resilience
• Operate across software, hardware, and networks
• Use AI as a force multiplier
• Balance speed with correctness
• Take ownership of outcomes

Requirements:

Minimum Qualifications

• 8+ years of software engineering experience
• Strong C++ and/or Python skills
• Experience with real-time or distributed systems
• Experience interfacing with hardware systems
• Strong debugging skills across system layers

Preferred Qualifications

• Autonomy & Systems Experience
• Maritime autonomy, robotics, or unmanned systems
• Perception systems or sensor fusion
• Navigation or control systems
• Distributed data pipelines
• AI-Enabled Engineering
• AI-assisted development tools
• LLM workflows (RAG, agents)
• AI in CI/CD or testing
• MLOps or production AI systems

Additional Requirements

• Docker, Kubernetes
• Security clearance