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