SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.
We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.
About the Role
Sandbox AQ’s AI/quantum navigation (“AQNav”) team is looking for a highly accomplished, veteran software engineer to assist with designing, implementing, and testing robust, avionics-certifiable, production-grade software for the AQNav system. A successful candidate must be comfortable owning the end-to-end lifecycle of both internal and external facing software systems and applications and have significant industry experience bringing products through all lifecycle phases from conception to production, deployment, and maintenance. Fresh off being named one of TIME’s Best Inventions of 2024 and Fast Company’s 'Next Big Thing in Transportation,' we’re expanding our team to drive the future of navigation. If you're a visionary engineer seeking to make a real-world impact, join us as we redefine how the world finds its way.
Knowledge of best practices for the U.S. Department of Defense and/or the Intelligence Community will be considered a plus. The candidate will be part of a diverse team consisting of physicists, engineers, and machine learning experts, where they will play a key role in the efficient and effective enablement of the technologies being developed.
What You’ll Do
About You
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The US base salary range for this full-time position is expected to be $154k-$256k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
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