Anduril Industries
Senior Software Engineer, Data Science & Machine Learning
Anduril Industries, Costa Mesa, California, United States, 92626
Overview
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. Anduril brings the expertise, technology, and business model of modern innovative companies to the defense industry, changing how military systems are designed, built and sold. Our family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. The Tactical Recon and Strike (TRS) division at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team takes products like Ghost, Anvil, Bolt and Altius from paper sketches to operational systems, working in close coordination with specialist teams to solve hard problems for our customers. What You’ll Do
Con duct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle systems, and effectively communicate analytical insights to stakeholders. Collaborate cross-functionally with engineering, product management, and fellow data scientists to apply advanced statistical techniques, informing strategic decisions and guiding roadmaps for enhancing vehicle performance based on data-driven insights. Develop, optimize, and oversee autonomous vehicle data infrastructure, including the creation and management of software tools, data catalogs, and robust data pipelines that facilitate efficient data extraction, transformation, and delivery of high-quality data products for internal use and stakeholder presentation. Spearhead technical investigations to diagnose operational issues and analyze performance trends, providing leadership in the interpretation of data and formulation of solutions to improve system reliability and efficiency. Design and implement analytics-driven customer-facing products that showcase system performance metrics, provide trend analysis, and enhance user understanding and experience with our autonomous vehicle platforms. Required Qualifications
A background in Mathematics, Statistics, Computer Science, Data Science, or a related technical field with a strong quantitative foundation. Demonstrated expertise in Python with a robust portfolio of projects showcasing the development, validation, and deployment of predictive models and data products. Proficiency with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn is essential. Familiarity with Unix/Linux environments, including proficiency with the command line interface and the ability to efficiently manage and navigate distributed computing systems. Exceptional data visualization skills, with proficiency in using visualization tools (e.g., Plotly, Matplotlib, Seaborn) and business intelligence platforms (e.g., Tableau, Power BI) to translate complex data insights into accessible visual formats for diverse audiences. A proven track record of effectively working with large and complex datasets, and the ability to quickly understand and work within established codebases and complex system architectures. A strong commitment to applying data science to solve real-world problems, with the ability to translate technical findings into actionable recommendations that have a tangible impact. Excellent communication and collaboration skills, with the ability to engage effectively with multidisciplinary teams, including engineers, product managers, and non-technical stakeholders. Must be able to obtain and maintain a DoD Security Clearance. Must be open to 24/7 on-call work with customers. Must be open to 20% travel. Preferred Qualifications
Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and familiarity with containerization (e.g., Docker, Kubernetes). Knowledge of best practices in data governance, ethics, and privacy, plus experience with data security and compliance requirements relevant to sensitive and classified information. Leadership experience with the ability to mentor junior data scientists and lead project teams in executing complex data science initiatives. Experience working with terabyte-scale data, robotics data formats (e.g. MCAP, HDF5), and dataframes (e.g., Pandas, PySpark). Compensation & Benefits
US Salary Range: $168,000—$252,000 USD. The salary range is an estimate based on compensation factors including base salary; actual offers may vary. Highly competitive equity grants are included in most full-time offers and are part of Anduril’s total compensation. Benefits include: Platinum healthcare benefits (medical, dental, vision) for U.S. roles; private medical insurance options for UK and AUS roles. Basic Life/AD&D and long-term disability coverage; option to purchase additional life insurance. Generous holiday calendar and competitive PTO; 16 weeks of paid Caregiver & Wellness Leave. Family planning and parenting support, fertility coverage, adoption, and related resources. Mental health resources, including free 24/7 counseling; additional work-life services such as legal and financial support. Professional development stipend; daily meals or provisioning at many offices; commuter benefits; relocation assistance (role-eligible). 401(k) with traditional and Roth options (U.S. roles). The recruiter for this role can share more information about compensation and benefits during the hiring process. Anduril is an equal-opportunity employer committed to a diverse and inclusive workplace. All qualified applicants will receive equal consideration without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic as required by law. We encourage applicants from recognized minorities, women, veterans, and individuals with disabilities to apply. To view Anduril’s candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Defense and Space Manufacturing
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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. Anduril brings the expertise, technology, and business model of modern innovative companies to the defense industry, changing how military systems are designed, built and sold. Our family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. The Tactical Recon and Strike (TRS) division at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team takes products like Ghost, Anvil, Bolt and Altius from paper sketches to operational systems, working in close coordination with specialist teams to solve hard problems for our customers. What You’ll Do
Con duct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle systems, and effectively communicate analytical insights to stakeholders. Collaborate cross-functionally with engineering, product management, and fellow data scientists to apply advanced statistical techniques, informing strategic decisions and guiding roadmaps for enhancing vehicle performance based on data-driven insights. Develop, optimize, and oversee autonomous vehicle data infrastructure, including the creation and management of software tools, data catalogs, and robust data pipelines that facilitate efficient data extraction, transformation, and delivery of high-quality data products for internal use and stakeholder presentation. Spearhead technical investigations to diagnose operational issues and analyze performance trends, providing leadership in the interpretation of data and formulation of solutions to improve system reliability and efficiency. Design and implement analytics-driven customer-facing products that showcase system performance metrics, provide trend analysis, and enhance user understanding and experience with our autonomous vehicle platforms. Required Qualifications
A background in Mathematics, Statistics, Computer Science, Data Science, or a related technical field with a strong quantitative foundation. Demonstrated expertise in Python with a robust portfolio of projects showcasing the development, validation, and deployment of predictive models and data products. Proficiency with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn is essential. Familiarity with Unix/Linux environments, including proficiency with the command line interface and the ability to efficiently manage and navigate distributed computing systems. Exceptional data visualization skills, with proficiency in using visualization tools (e.g., Plotly, Matplotlib, Seaborn) and business intelligence platforms (e.g., Tableau, Power BI) to translate complex data insights into accessible visual formats for diverse audiences. A proven track record of effectively working with large and complex datasets, and the ability to quickly understand and work within established codebases and complex system architectures. A strong commitment to applying data science to solve real-world problems, with the ability to translate technical findings into actionable recommendations that have a tangible impact. Excellent communication and collaboration skills, with the ability to engage effectively with multidisciplinary teams, including engineers, product managers, and non-technical stakeholders. Must be able to obtain and maintain a DoD Security Clearance. Must be open to 24/7 on-call work with customers. Must be open to 20% travel. Preferred Qualifications
Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and familiarity with containerization (e.g., Docker, Kubernetes). Knowledge of best practices in data governance, ethics, and privacy, plus experience with data security and compliance requirements relevant to sensitive and classified information. Leadership experience with the ability to mentor junior data scientists and lead project teams in executing complex data science initiatives. Experience working with terabyte-scale data, robotics data formats (e.g. MCAP, HDF5), and dataframes (e.g., Pandas, PySpark). Compensation & Benefits
US Salary Range: $168,000—$252,000 USD. The salary range is an estimate based on compensation factors including base salary; actual offers may vary. Highly competitive equity grants are included in most full-time offers and are part of Anduril’s total compensation. Benefits include: Platinum healthcare benefits (medical, dental, vision) for U.S. roles; private medical insurance options for UK and AUS roles. Basic Life/AD&D and long-term disability coverage; option to purchase additional life insurance. Generous holiday calendar and competitive PTO; 16 weeks of paid Caregiver & Wellness Leave. Family planning and parenting support, fertility coverage, adoption, and related resources. Mental health resources, including free 24/7 counseling; additional work-life services such as legal and financial support. Professional development stipend; daily meals or provisioning at many offices; commuter benefits; relocation assistance (role-eligible). 401(k) with traditional and Roth options (U.S. roles). The recruiter for this role can share more information about compensation and benefits during the hiring process. Anduril is an equal-opportunity employer committed to a diverse and inclusive workplace. All qualified applicants will receive equal consideration without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic as required by law. We encourage applicants from recognized minorities, women, veterans, and individuals with disabilities to apply. To view Anduril’s candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Defense and Space Manufacturing
#J-18808-Ljbffr