Anduril is developing and deploying an integrated system to make UxVs (robots) highly effective through the entire mission lifecycle. From fleet management, to mission planning, live execution, and integrations into other DOD systems, Lattice is enabling the military to fight at scale with robots across all domains. This objective is ambitious, and so we need ambitious, detail oriented, and passionate individuals to drive drive execution, and maintain focus on strategy.

Engineering Operations is all about ensuring the right people, are talking about the right things, at the right times. In this role, you will work hand in hand with engineering leadership to identify priorities, hold operations oversight meetings, and manage calendars. You will interface mainly with Mission Autonomy engineering, other internal MA functions such as program management, and external leaders from other companies and the USG Program Offices.

What you will do:

• Calendar Management
• Provide comprehensive calendar support to Engineering Leads
• Manage complex schedules and serve as a collaborative partner with the broader Anduril organization
• Coordinate and manage internal and external meetings VPs/GMs are involved in
• Plan executive domestic and international travel.
• Comms
• Facilitate knowledge transfer within the engineering team, contribute to documentation and best practices
• Draft and aggregate information for internal messaging to teams to inform them of priorities and celebrate wins.
• Execution
• Help with project management tooling and adoption
• Help implement operational and process improvements to improve engineering velocity

REQUIRED QUALIFICATIONS

• Experience supporting senior level executives in a corporate environment
• Excellent written, verbal, and interpersonal communication skills. Approachable style and ability to effectively and professionally interface with high level executives, clients, employees and business associates both internal and external
• Experience in operations of engineering and software teams, driving execution of large projects with multiple discipline involvement. You have demonstrated clear follow through and closeout of programatic objectives.
• Experience with end-to-end project management.
• Strong organizational and time management skills. Proven experience in multi-tasking and working with multiple people and priorities, while delivering on high quality results and follow through
• Demonstrates curiosity and a desire to understand the company goals
• Proficient in scheduling meetings in multiple time zones and leveraging calendar tools (Microsoft Office Suite skills)
• U.S. Person status is required as this position needs to access export controlled data

PREFERRED QUALIFICATIONS

• Proven ability to handle confidential and sensitive information in a professional manner.
• Problem solving and very strong analytical skill capabilities.
• Experience in a fast-paced, high-tech company.
• Excellent attention to detail and accuracy.
• Success in this role is looking outside the box, ability to fill the gap between comms, flexibility
• Department of Defense contractor experience OR Tech Start-Up Experience preferred
• Travel up to 1 week per month

About the Role

We are seeking a Staff Software Engineer to lead our Distributed Simulation efforts. In this role, you will be responsible for building a new distributed simulation product to enable heterogeneous groups of robots to collaborate together across multiple physical sites. Ideal candidates will be comfortable at all stages of the product life cycle, from initial scoping of user requirements, to the architecture of a solution, to the implementation of that solution.

What You'll Do
You will be expected to use your prior expertise to make well-reasoned arguments for a design that accounts for:

• differing visions of “truth” on the server and client
• latency between clients and the server
• where to do GPU-intensive computation
• registering new robots with the network
• shipping software updates without compromising availability
• moving data across segregated networks
• monitoring of simulation state for post-exercise debugging and reporting

Required Qualifications

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Recent (<2 years in the past) experience writing and maintaining software codebases with significant complexity
• Prior experience in distributed simulation, especially from writing network-based multiplayer games or from a similar defense context
• Experience as a tech lead and mentor for teams of at least 5 other engineers

Preferred Qualifications

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 8+ years of software engineering experience including significant work in at least two of the following: C++, Golang, Java, Rust, Python
• Experience setting up CI/CD, metrics + logging infrastructure for a live service, and alerting
• Experience with cloud infrastructure: Docker, Kubernetes, Terraform, and AWS
• Experience with Nix

About the Role

We are seeking a Staff Software Engineer to lead our Distributed Simulation efforts. In this role, you will be responsible for building a new distributed simulation product to enable heterogeneous groups of robots to collaborate together across multiple physical sites. Ideal candidates will be comfortable at all stages of the product lifecycle, from initial scoping of user requirements through architecture, implementation, and support.

What You'll Do
You will be expected to use your prior expertise to make well-reasoned arguments for a design that accounts for:

• differing visions of “truth” on the server and client
• latency between clients and the server
• where to do GPU-intensive computation
• registering new robots with the network
• shipping software updates without compromising availability
• moving data across segregated networks
• monitoring of simulation state for post-exercise debugging and reporting

Required Qualifications

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Recent (<2 years in the past) experience writing and maintaining software codebases with significant complexity
• Prior experience in distributed simulation, especially from writing network-based multiplayer games or from a similar defense context
• Experience as a tech lead and mentor for teams of at least 5 other engineers

Preferred Qualifications

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 8+ years of software engineering experience including significant work in at least two of the following: C++, Golang, Java, Rust, Python
• Experience setting up CI/CD, metrics + logging infrastructure for a live service, and alerting
• Experience with cloud infrastructure: Docker, Kubernetes, Terraform, and AWS
• Experience with Nix

We are seeking a Generative AI Chief Engineer Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

We are seeking a AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.

About the Role

We are seeking a Staff Software Engineer to lead our Distributed Simulation efforts. In this role, you will be responsible for building a new distributed simulation product to enable heterogeneous groups of robots to collaborate together across multiple physical sites. Ideal candidates will be comfortable at all stages of the product life cycle, from initial scoping of user requirements, to the architecture of a solution, to the implementation of that solution.

What You'll Do
You will be expected to use your prior expertise to make well-reasoned arguments for a design that accounts for:

• differing visions of “truth” on the server and client
• latency between clients and the server
• where to do GPU-intensive computation
• registering new robots with the network
• shipping software updates without compromising availability
• moving data across segregated networks
• monitoring of simulation state for post-exercise debugging and reporting

Required Qualifications

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Recent (<2 years in the past) experience writing and maintaining software codebases with significant complexity
• Prior experience in distributed simulation, especially from writing network-based multiplayer games or from a similar defense context
• Experience as a tech lead and mentor for teams of at least 5 other engineers

Preferred Qualifications

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 8+ years of software engineering experience including significant work in at least two of the following: C++, Golang, Java, Rust, Python
• Experience setting up CI/CD, metrics + logging infrastructure for a live service, and alerting
• Experience with cloud infrastructure: Docker, Kubernetes, Terraform, and AWS
• Experience with Nix

Anduril is developing and deploying an integrated system to make UxVs (robots) highly effective through the entire mission lifecycle. From fleet management, to mission planning, live execution, and integrations into other DOD systems, Lattice is enabling the military to fight at scale with robots across all domains. This objective is ambitious, and so we need ambitious, detail oriented, and passionate individuals to drive drive execution, and maintain focus on strategy.

Engineering Operations is all about ensuring the right people, are talking about the right things, at the right times. In this role, you will work hand in hand with engineering leadership to identify priorities, hold operations oversight meetings, and manage calendars. You will interface mainly with Mission Autonomy engineering, other internal MA functions such as program management, and external leaders from other companies and the USG Program Offices.

What you will do:

• Calendar Management
• Provide comprehensive calendar support to Engineering Leads
• Manage complex schedules and serve as a collaborative partner with the broader Anduril organization
• Coordinate and manage internal and external meetings VPs/GMs are involved in
• Plan executive domestic and international travel.
• Comms
• Facilitate knowledge transfer within the engineering team, contribute to documentation and best practices
• Draft and aggregate information for internal messaging to teams to inform them of priorities and celebrate wins.
• Execution
• Help with project management tooling and adoption
• Help implement operational and process improvements to improve engineering velocity

REQUIRED QUALIFICATIONS

• Experience supporting senior level executives in a corporate environment
• Excellent written, verbal, and interpersonal communication skills. Approachable style and ability to effectively and professionally interface with high level executives, clients, employees and business associates both internal and external
• Experience in operations of engineering and software teams, driving execution of large projects with multiple discipline involvement. You have demonstrated clear follow through and closeout of programatic objectives.
• Experience with end-to-end project management.
• Strong organizational and time management skills. Proven experience in multi-tasking and working with multiple people and priorities, while delivering on high quality results and follow through
• Demonstrates curiosity and a desire to understand the company goals
• Proficient in scheduling meetings in multiple time zones and leveraging calendar tools (Microsoft Office Suite skills)
• U.S. Person status is required as this position needs to access export controlled data

PREFERRED QUALIFICATIONS

• Proven ability to handle confidential and sensitive information in a professional manner.
• Problem solving and very strong analytical skill capabilities.
• Experience in a fast-paced, high-tech company.
• Excellent attention to detail and accuracy.
• Success in this role is looking outside the box, ability to fill the gap between comms, flexibility
• Department of Defense contractor experience OR Tech Start-Up Experience preferred
• Travel up to 1 week per month

About the Role

We are seeking a Staff Software Engineer to lead our Distributed Simulation efforts. In this role, you will be responsible for building a new distributed simulation product to enable heterogeneous groups of robots to collaborate together across multiple physical sites. Ideal candidates will be comfortable at all stages of the product lifecycle, from initial scoping of user requirements through architecture, implementation, and support.

What You'll Do
You will be expected to use your prior expertise to make well-reasoned arguments for a design that accounts for:

• differing visions of “truth” on the server and client
• latency between clients and the server
• where to do GPU-intensive computation
• registering new robots with the network
• shipping software updates without compromising availability
• moving data across segregated networks
• monitoring of simulation state for post-exercise debugging and reporting

Required Qualifications

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Recent (<2 years in the past) experience writing and maintaining software codebases with significant complexity
• Prior experience in distributed simulation, especially from writing network-based multiplayer games or from a similar defense context
• Experience as a tech lead and mentor for teams of at least 5 other engineers

Preferred Qualifications

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 8+ years of software engineering experience including significant work in at least two of the following: C++, Golang, Java, Rust, Python
• Experience setting up CI/CD, metrics + logging infrastructure for a live service, and alerting
• Experience with cloud infrastructure: Docker, Kubernetes, Terraform, and AWS
• Experience with Nix

Anduril is developing and deploying an integrated system to make UxVs highly effective through the entire mission lifecycle. From fleet management, to mission planning, live execution, and integrations into other DOD systems, Lattice is enabling the military to fight at scale with robots across all domains. Anduril is leveraging AI across all aspects of this lifecycle to reduce the barrier to entry for new operators, and increase the scale at which operators can leverage Lattice.

Your Job is to design, implement, and evolve the means by which Agents interact with classical software systems. You will contribute to test and eval infrastructure, deployment software, agent tool calling, prompt engineering, and other agent techniques in order to achieve best-in-class performance with frontier and edge deployed models. You will increase the performance and quality of agentic interaction patterns, and you will expand the surface area by which Agents can interact with the overall Lattice system. - good to ship

Required Qualifications

• Demonstrated deep knowledge of the implementation and use of LLM’s
• Experience integrating agents into classical systems 
• Strong programming skills in Python or other core languages (Java, Go etc)
• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience.

Preferred Qualifications

• Experience with simulation or real-world validation for autonomous vehicles is highly desirable
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

Anduril is developing and deploying an integrated system to make UxVs highly effective through the entire mission lifecycle. From fleet management, to mission planning, live execution, and integrations into other DOD systems, Lattice is enabling the military to fight at scale with robots across all domains. Anduril is leveraging AI across all aspects of this lifecycle to reduce the barrier to entry for new operators, and increase the scale at which operators can leverage Lattice.

Your Job is to design, implement, and evolve the means by which Agents interact with classical software systems. You will contribute to test and eval infrastructure, deployment software, agent tool calling, prompt engineering, and other agent techniques in order to achieve best-in-class performance with frontier and edge deployed models. You will increase the performance and quality of agentic interaction patterns, and you will expand the surface area by which Agents can interact with the overall Lattice system. - good to ship

Required Qualifications

• Demonstrated deep knowledge of the implementation and use of LLM’s
• Experience integrating agents into classical systems 
• Strong programming skills in Python or other core languages (Java, Go etc)
• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience.

Preferred Qualifications

• Experience with simulation or real-world validation for autonomous vehicles is highly desirable
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

We are seeking a Generative AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.