Algorithms Residency - Quantum Navigation

About SandboxAQ

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.

Residencies at SandboxAQ

If you?re a graduate student in STEM ready to bring the new AI + Quantum era to the world, consider joining our residency program at SandboxAQ.

We are currently looking for students in a wide variety of STEM fields ? physics, computer science, AI, neuroscience, chemistry, cryptography, mathematics/statistics, biomedical engineering, aerospace engineering, geophysics, and more ? to join our world-class team of engineers, scientists and technologists.

Navigation Residency - Algorithms

The SandboxAQ Quantum Navigation team deploys state-of-the-art solutions to enable GPS-free navigation using the Earth?s magnetic field. We are looking for a Navigation Resident to join our dynamic team! The resident will work on projects in state estimation, navigation filters, and software development. The successful candidate will work closely with Scientists/Engineers, be collaborative, and possess strong critical thinking skills.

We are looking for candidates with:
? Strong foundation in state estimation, statistics, and software development
? Experience with Kalman Filters and its derivatives
? Knowledge of magnetic navigation is preferred
? Experience with software development, especially Python, C++, and CUDA, and CI/CD best practices, and tools such as Git
? Critical thinking and research skills
? Written communication skills, e.g. experience with scientific writing

Details
? Location: Remote
? Start date: Year-round, on a rolling basis
? Duration: Flexible, typically between 4 months to one year

Eligibility
? Currently enrolled in a STEM PhD or Masters Degree program: Aerospace Engineering, Applied Mathematics, Electrical Engineering, Geomatics, Mechanical Engineering, Navigation, Robotics, or Autonomy, or similar field
? Proficiency with Python

What To Expect
? Work on a technical project with scientists and engineers on one of our core teams
? Engagement with fellow residents
? Competitive compensation
? Present findings to the rest of Sandbox AQ
? Have fun!

SandboxAQ welcomes all.

We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can?t go back to normalcy because great breakthroughs come from great teams and we are the best in quantum technology.

We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

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