CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

We are seeking a strategically-minded, technology-focused, and customer-centric Engineering Manager to lead one of our Infrastructure teams here. You will lead a team responsible for building, operating, and scaling the cloud infrastructure and platform systems that underpin CLEAR’s services, ensuring reliability, performance, and security across our environments.

A successful candidate brings strong experience in cloud infrastructure, distributed systems, and operational excellence, along with a solid foundation in software engineering. You are an effective communicator who can lead complex infrastructure initiatives from inception through delivery, and thrive in fast-paced environments. This role requires a focus on building resilient, scalable systems, driving automation, and leading and developing high-performing engineering teams.

What you'll do:

• Hire, develop, and grow engineering talent through coaching, mentorship, performance management, and career development planning
• Set clear goals and expectations, provide regular feedback, and foster accountability across the team
• Own and execute the roadmap for cloud infrastructure and platform engineering, and reliability initiatives
• Design, build, and operate a scalable, secure, and highly available cloud platform infrastructure
• Drive automation across infrastructure provisioning, deployment, and operations to improve efficiency and reduce manual overhead
• Establish and enforce best practices for system reliability, observability, incident response, and disaster recovery
• Partner with engineering teams to improve deployment pipelines, service operability, and production readiness
• Provide technical leadership, making clear architectural decisions and communicating trade-offs, risks, and impacts
• Own operational excellence through metrics, SLAs/SLOs, and continuous improvement of system performance, reliability, and cost

What you're great at:

• 3+ years of experience managing and developing software engineers, with strong coaching and team leadership skills
• Strong experience with CI/CD systems, infrastructure automation, and release engineering
• Deep knowledge of cloud platforms (e.g., AWS) and distributed systems architecture
• Hands-on experience with Infrastructure as Code (e.g., Terraform, Pulumi)
• Strong expertise in Kubernetes and container orchestration at scale
• Experience designing for high availability, fault tolerance, and operational resilience
• Proficiency in at least one modern programming language (e.g., Python, and or Java) and solid software engineering fundamentals
• Experience with observability tooling (monitoring, logging, tracing) and incident management practices
• Ability to collaborate cross-functionally and influence teams to adopt infrastructure and operational best practices
• Strong interpersonal, communication, and stakeholder management skills
• Curious, proactive, and committed to continuous learning and improvement

How You’ll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. 

The total compensation range for this role is $275,000-$350,000, depending on levels of skills and experience.

This range represents the combined base salary, annual bonus incentive, and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Install, configure, and maintain AI platform and tools.
• Design, deploy, and operate infrastructure supporting ML and LLM workloads.
• Build, containerize, and deploy AI services using Docker.
• Build and maintain Machine Learning CI/CD pipelines for training, testing, and deployment.
• Deploy and manage AI services across cloud and on-prem environments.
• Automate infrastructure provisioning using Terraform and Infrastructure-as-Code best practices.
• Monitor system performance, reliability, and scalability of AI platforms.
• Implement observability for agentic AI systems to ensure reliability, transparency, and debuggability.
• Perform regular security updates, patching, access control, and vulnerability remediation.
• Integrate AI tools with APIs, data platforms, and internal systems.
• Research, evaluate, and prototype new AI, LLM, and MLOps tools.
• Troubleshoot infrastructure, data, and deployment issues.
• Research, test, and prototype emerging AI technologies.
• Document system architecture, deployment processes, and operational runbooks.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years Practical experience with LLM platforms, LLMOps, and MLOps.
• Experience deploying and maintaining AI or data platforms in production.
• Hands-on experience with AI/automation tools.
• Experience designing and orchestrating agentic automation workflows.
• Strong experience with Terraform and Infrastructure-as-Code.
• Proven experience deploying applications using Docker (Docker files, image optimization, container lifecycle).
• Expertise with cloud platforms such as AWS.
• Expertise with CI/CD tooling (GitHub Actions, GitLab CI).
• Strong Knowledge of Kubernetes and orchestration.
• Solid understanding of networking.
• Experience supporting high-availability, production AI systems.
• Scripting skills (Python, PySpark, Bash).
• Knowledge of security best practices, patch management, and access controls.
• Collaborate with engineering, data, and product teams to support AI initiatives.
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.
• A teaching and coaching approach to guiding engineers and teams in approaches.
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Internal leveling code: IC8

Overview

As the Senior Software Engineer for Scout Motor’s digital products, you will play a key role in the development and enhancement of our software products, from concept to deployment. You will work closely with cross-functional teams to design, develop, and implement scalable and robust solutions that meet our customers' needs and exceed their expectations. Some of the key products as part of digital portfolio are – mobile and desktop applications, vehicle connectivity solutions, mapping services, production, inventory and planning optimization, servicing and repairs, and more. At the same time, you’ll have plenty of opportunities to be hands-on building key systems and will be directly responsible for the successful delivery of complex and large-scale technical efforts as well acting as a technical mentor and leader for other engineers.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Work with engineers & technical leaders across the company to ship interoperable products and systems on strong foundations that manage customer interactions inside and outside of the vehicle
• Lead the architecture, design, and development of complex software systems, ensuring scalability, reliability, and performance
• Collaborate with product managers, designers, and other stakeholders to understand requirements and translate them into technical specifications and deliverables
• Implement single sign-on solutions to allow users to authenticate once and access multiple applications securely. Design, implement and support identity, access and profile related services for multiple web applications, mobile apps and vehicle apps supporting internal and customer as users
• Implement best practices and standards for software development, including code reviews, testing, and documentation
• Mentor and coach junior team members, providing guidance and support to help them grow and succeed
• Stay current with emerging technologies and industry trends, continuously learning and experimenting with new tools and techniques to improve our software development process
• Be responsible for the services that are owned by your team, ensuring 24/7 on-call coverage

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Fremont, California. We will consider remote applicants for this role. This role is not eligible for remote work in New York City.
• The responsibilities of this role require one day a week attendance in office with in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Education/Certifications: A Bachelor’s degree in Computer Science, or a related technical field
• Years of Experience required: 5+ years in software development, with a focus on back-end technologies
• Communication: Strong written and verbal communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders
• Ability to work effectively in a fast-paced, collaborative environment, both independently and as part of a team
• Proficiency in one of Go, Node.js, Python, Java, or Ruby
• Experience with both relational and/or non-relational databases (e.g., MySQL, PostgreSQL, MongoDB, Redis)
• Experience with identity management systems (e.g., Azure AD, AWS Cognito, LDAP, Okta, Keyclock) and directory services for user authentication and management
• Strong understanding of software architecture, design patterns, and best practices
• Excellent problem-solving and troubleshooting skills, with a passion for finding elegant solutions to complex challenges

Preferred:

• Prior experience working experience in a manufacturing or automotive environment
• Hands on experience building on AWS using Go and/or Python
• Full-stack development

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Initial California base salary range = $154,000.00 - $187,000.00

Internal leveling code: IC9

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Plan and align the integration of the electronic vehicle commissioning on a specific ECU level into manufacturing by utilizing the diagnostics.  
• Collaborate with relevant stakeholders (R&D, Assembly shopfloor, Quality, etc.) to meet organizational objectives and production requirements. 
• Coordinate the concept scope and timeline for pre-series and series phase and perform commissioning during launch phase. 
• Support triage during integration phase as well as issue resolution process. 
• Develop processes, specifications and production code to implement the next generation of software-defined vehicles. 
• Be the representative for production within engineering system teams for concept and launch phase. 
• Monitor and track technical changes for vehicle diagnostics, security, and architectures throughout the validation process. 
• Perform validation process before a final program release to assembly line to ensure all required steps are fulfilled correctly. Document results and define action plan. 
• Perform system analysis to understand strengths, drawbacks, and limitations. 
• Evaluate and enhance vehicle commissioning concepts that produce exceptional quality, reduce budget, and reduce production cycle time. 

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Blythewood, South Carolina.
• This role requires daily attendance in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor’s degree in automotive technology, electrical engineering or computer science or equivalent field. Master’s degree is a plus. 
• Minimum 4 years professional experience with expertise in automotive development, manufacturing engineering, production planning. 
• Proficiency in advanced programming languages such as Python, C++, C#, Java or similar 
• Knowledge of vehicle engineering processes and understanding of manufacturing processes. 
• Demonstrated ability to set direction and guide the team towards it.  
• Demonstrated ability in creative and strategic problem-solving, with experience troubleshooting vehicle systems. 
• Ability to work in a fast-paced development environment. 
• Good team player with excellent communication skills.  
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $100,000.00 - $125,000.00

Internal leveling code: IC9

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Plan, develop and integrate electronic vehicle commissioning concepts for underlying cross-functional technologies e.g. Software flashing, ECU configuration, Immobilizer systems, secured vehicle diagnostic functions. 
• Ensure the end-to-end functionality including in-vehicle technologies and necessary backend systems. 
• Lead and coordinate commissioning, planning project concept scope, timeline constraints in pre-series and series phase. 
• Representative for production concept changes within project teams. 
• Monitor and track technical changes for central vehicle diagnostics, security, and architectures throughout the development and launch process. 
• Coordinate the integration for commissioning concepts for process planning into the production. 
• Evaluate and enhance vehicle commissioning concepts that produce exceptional quality, reduce cost, and improve production cycle time. 
• Develop and coordinate commissioning documents using IT systems in production.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Blythewood, South Carolina. 
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor’s degree in automotive technology, electrical engineering or computer science or equivalent field. Master’s degree is a plus. 
• Minimum 4 years professional experience with expertise in automotive development, manufacturing engineering, production planning. 
• Proficiency in advanced programming languages such as Python, C++, C#, Java or similar 
• Knowledge of vehicle engineering processes and understanding of manufacturing processes. 
• Demonstrated ability to set direction and guide the team towards it.  
• Demonstrated ability in creative and strategic problem-solving, with experience troubleshooting vehicle systems. 
• Ability to work in a fast-paced development environment. 
• Good team player with excellent communication skills.  

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial Base Salary Range: $100,000.00 - $125,000.00

Internal Leveling Code: IC9

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Coordinate and refine control algorithms for state-of-the-art electric vehicle thermal management systems.
• Perform calibration of thermal and climate functionality to deliver optimal performance for the customer and vehicle.
• Ensure that thermal management systems meet industry standards and regulatory requirements for safety, performance, and environmental impact.
• Collaborate with cross-functional teams to integrate calibration solutions into the overall vehicle architecture.
• Conduct thorough testing, validation, and optimization of control algorithms.
• Participate in calibration development trips.
• Lead issue resolution for thermal calibration and/or software issues.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Novi, Michigan.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor’s or master’s degree in mechanical engineering, automotive engineering, electrical engineering or a related field.
• 5+ years of experience in high voltage battery controls system development, preferably in the automotive or energy storage industry.
• Proficiency in control theory, algorithm development, and simulation tools.
• Experience in calibration tools and methodologies.
• Strong programming skills in languages like C, C++, or Python.
• Experience with thermal management systems and associated hardware.
• Knowledge of communication protocols (CAN, LIN) and hardware interfaces.
• Familiarity with safety standards and regulations pertaining to battery technology.
• Excellent problem-solving skills and ability to work in a dynamic, collaborative environment.
• Ability to be self-sufficient with minimal direction to meet customer deliverables.
• Strong interpersonal skills to interface with colleagues and suppliers around the world
• Ability to read, interpret and generate engineering drawings and specifications.
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $110,000.00 - $135,000.00

Internal leveling code: IC9

About the Team

The Data Platform Team at Scout is dedicated to unlocking the full potential of data by building a secure, scalable, and distributed platform that enables real-time insights, drives informed decision-making, and fosters innovation across the organization.

Our mission is to empower teams with actionable intelligence by streamlining data sharing, ensuring regulatory compliance, maintaining data integrity, and optimizing costs at every level.

This role is focused on building foundation for deploying AI-enabled use cases across company operations.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices.
• Work closely with software development and systems teams to build Data Integration solutions.
• Design and build Data models using tools such as Lucid, Talend, Erwin, MySQL workbench.
• Define and enhance enterprise data model to reflect relationships and dependencies.
• Review application data systems to ensure adherence to data governance policies.
• Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required.
• Design and Implement BI dashboards to visualize Trends and Forecasts.
• Design and implement data infrastructure components, ensuring high availability, reliability, scalability, and performance.
• Design, train and deploy ML models
• Implement monitoring solutions to proactively identify and address potential issues.
• Collaborate with security teams to ensure the data platform meets industry standards and compliance requirements.
• Collaborate with cross-functional teams, including product managers, developers, and business partners to ensure robust and reliable systems.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• The responsibilities of this role require 4-5 days attendance in office with in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment.
• Experience with streaming and event-based architecture.
• Experience implementing data lakehouse solutions using Databricks.
• Experience with infrastructure as code (Terraform).
• Proficient in building data pipelines using languages such as Python and SQL.
• Experience with AWS based data services such as Glue, Kinesis, Firehose or other comparable services.
• Experience with Structured, unstructured and time series databases.
• Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, Influx.
• Several years of experience working with cloud platforms such as AWS and Azure.
• Proven ability to develop and deploy scalable ML models.
• Hands-on experience in designing, training, and deploying ML models
• Strong ability to extract actionable insights using ML techniques
• Ability to leverage ML algorithms for forecasting trends and decision-making
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Initial California base salary range = $154,000.00 - $187,000

Internal leveling code: IC8

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Coordinate and refine control algorithms for state-of-the-art battery management systems (BMS) to monitor cell voltage, temperature, and state of charge (SOC) for efficient energy utilization and safety.
• Perform calibration of BMS functionality to deliver optimal performance for the customer and vehicle
• Ensure that battery control systems meet industry standards and regulatory requirements for safety, performance, and environmental impact.
• Utilize modeling and simulation tools to validate control system designs and predict performance under various operating conditions.
• Collaborate with cross-functional teams to integrate battery control systems into the overall vehicle architecture.
• Conduct thorough testing, validation, and optimization of control algorithms.
• Participate in calibration development trips.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Novi, Michigan.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor’s or master’s degree in mechanical engineering, automotive engineering, electrical engineering or a related field.
• 5+ years of experience in battery controls system development, preferably in the automotive or energy storage industry.
• Proficiency in control theory, algorithm development, and simulation tools.
• Experience in calibration tools and methodologies.
• Strong programming skills in languages like C, C++, or Python.
• Familiarity with battery management systems (BMS) and associated hardware.
• Knowledge of communication protocols (CAN, LIN) and hardware interfaces.
• Familiarity with safety standards and regulations pertaining to battery technology.
• Excellent problem-solving skills and ability to work in a dynamic, collaborative environment.
• Ability to be self-sufficient with minimal direction to meet customer deliverables.
• Strong interpersonal skills to interface with colleagues and suppliers around the world
• Ability to read, interpret and generate engineering drawings and specifications.
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $110,000.00 - $135,000.00

Internal leveling code: IC9

Who We Are

Babylist is the leading registry, e-commerce, and content platform for growing families. More than 9 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, trusted guidance, and expert product recommendations for new parents and the people who love them. What began as a universal registry has grown into a full ecosystem for new parents, including the Babylist Shop, Babylist Health, and a flagship showroom in Los Angeles. Hundreds of brands in baby and beyond partner with Babylist to engage meaningfully with families during one of life’s most important transitions. With over $1 billion in annual GMV, and more than $500 million in 2024 revenue, Babylist is reshaping the $320 billion baby product industry. We’re helping parents feel confident, connected, and cared for at every step. As we build the generational brand in baby, our mission remains simple: to connect growing families with everything they need to thrive.To learn more, visit www.babylist.com.

Our Ways of Working

Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.

How We Build

Babylist is in the middle of a fundamental shift in how software gets made, and we are not tiptoeing into it. We are rebuilding our engineering culture around a simple belief: AI changes everything. How teams are structured, how decisions get made, how fast ideas become working software. Our engineers own problems end to end, working directly with product, design, and business partners with short feedback loops and real stakeholder access. We ship, learn, and iterate fast. When something is not working, we throw it out and start over — project failure and personal failure are not the same thing here. AI tools are as natural to our workflow as an IDE or version control. We are not exploring this, we are living it. Our engineers use AI to explore tradeoffs, pressure-test designs, and move from problem to solution in hours instead of days. They generate code with AI so they can stay focused on the decisions that actually require human judgment — not the routine ones. More velocity means more time for craft: better test coverage, stronger architecture, and deeper customer understanding. We hold ourselves to a higher quality bar because of AI, not in spite of it. We are building this playbook in real time, and we are looking for people who want to build it with us. If you have already changed how you work because of AI — or you are ready to — and you care more about shipping something great than following a prescribed process, we should talk.

Our Tech Stack 

• React, Native iOS and Android
• Ruby on Rails
• AWS, Terraform
• MySQL
• Sidekiq
• Redis
• Shopify

What the Role Is

As Babylist’s Senior Engineering Manager, Machine Learning & Discovery+Site Monetization, you’ll lead the team driving the next era of our machine learning and personalization efforts across the product. This is a hands-on leadership role for a manager who remains technically fluent while scaling people, systems, and impact. You’ll manage and grow a high-performing ML-focused pod spanning product recommendations, search, PLPs, and site monetization, with a clear mandate: maximize revenue and user value across surface areas through personalization.

You’ll guide the team on technical direction behind our homepage feed, “add next” experience, and other core personalization surfaces, while building the foundations for long-term ML excellence at Babylist.

Who You Are

• 3+ years of experience as a front-line manager delivering production-grade software or ML systems
• 5+ years of experience as an individual contributor in ML or Data Science, plus proven experience leading teams that build end-to-end machine learning systems, ideally in personalization, recommendations, or consumer-facing ML products
• Deep familiarity with the Python ML ecosystem (e.g., pandas, sklearn, xgboost, PyTorch) and comfortable reviewing designs, unblocking technical challenges, and setting high technical standards
• Experience supervising ML Engineers and/or Data Scientists; bonus points for experience managing Software Engineers
• Strong understanding of the full ML lifecycle, including data pipelines, workflow orchestration (e.g., Airflow), deployment, monitoring, and iteration in production
• Product-minded: passionate about technology, but primarily motivated by solving real user problems and driving business impact
• Experience working with large-scale, real-time or near-real-time data systems
• Comfortable owning and evolving the ML tech stack end-to-end, from data and modeling through production systems
• Background in consumer-facing products; experience in e-commerce, marketplaces, or complex user journeys is strongly preferred
• You're genuinely excited about what AI can do - not just as a concept, but as something you want to get your hands on. At Babylist, every team uses AI daily, and we're looking for people who lean in.

How You Will Make An Impact

• Build and lead the ML & personalization function: Hire, mentor, and support a multidisciplinary team (Machine Learning Engineers, Software Engineers, Product Manager, and occasional Designer), shaping the roadmap, standards, and culture for ML at Babylist
• Own high-impact ML initiatives: Deliver personalization systems that improve discovery, engagement, and monetization across key surfaces, directly impacting business outcomes
• Set technical and algorithmic direction: Define modeling approaches, data strategy, and system architecture in partnership with senior technical leaders, balancing experimentation with scalable execution
• Be hands-on when needed: Review ML/DS designs and code, build proof-of-concept models, and conduct your own data science research to de-risk ideas and accelerate progress
• Develop talent: Coach engineers on technical growth, career progression, and performance, combining strong technical standards with empowerment
• Drive cross-functional alignment: Partner closely with Product, Design, Analytics Engineering, and Data to translate ambiguous business problems into clear technical direction
• Understand the full funnel: Develop a deep understanding of Babylist’s user journeys, user feedback loops, and financial models — and how ML systems influence them end-to-end

About Compensation

We use a market-based approach to compensation. The starting salary range for this role is:

USD - $250,000 to $308,000
CAD - $230,000 to $288,000

Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.

Why You Will Love Working At Babylist

Our Culture

• We work with focus and intention, then step away to recharge
• We believe in exceptional management and invest in tools and opportunities to connect with colleagues
• We build products that positively impact millions of people's lives
• AI tools are as natural to how we work as your IDE or version control — we're not exploring this, we're living it.

Growth & Development

• Competitive pay and meaningful opportunities for career advancement
• We believe technology and data can solve hard problems
• We're committed to career progression and performance-based advancement

Compensation & Benefits

• Competitive salary with equity and bonus opportunities
• Company-paid medical, dental, and vision insurance
• Retirement savings plan with company matching and flexible spending accounts
• Generous paid parental leave and PTO
• Remote work stipend to set up your office
• Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Important Notices

Recorded Interviews Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.

Interview Integrity At Babylist, every team uses AI daily and we love it. During interviews though, we want to see you — your thinking, your problem-solving, your creativity. All interviews and assessments should be completed independently without AI tools or third-party assistance unless we tell you otherwise. We'll always be clear when AI is welcome. Misrepresentation during the process may result in removal from consideration.

Protect Yourself from Scams All official communication comes from the Babylist Talent Team via @babylist.com email addresses. We will never ask for payment, bank information, or personal financial details. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles on our careers page.

Connections at Babylist In line with our conflict of interest policy, please let us know if you have a family member or close personal relationship with a current Babylist employee. This helps us keep our process fair for everyone.

Text Message Updates You may opt in to receive SMS updates about your application. Opting out won't affect your status. Message and data rates may apply. Reply STOP to unsubscribe or HELP for assistance. See our Privacy Policy for details.

This position is based in our Reston, VA office and offers a hybrid work schedule.

Verisign is hiring a Senior Site Reliability Engineer to help lead a team responsible for building, managing, maintaining, and scaling the Linux infrastructure on which our mission-critical services depend. We value engineering professionals who are equipped with great technical skills and attitudes that motivate those around them. We seek individuals with a sense of purpose and for whom detail and craftsmanship are of their essence; individuals that are curious, demonstrate initiative, and love solving problems.

Responsibilities:

• Oversee deployments of solutions that combine Open Source components, COTS (commercial off the shelf) components, and custom developed components
• Deploy, configure, and maintain services in production, QA and development environments, on various platforms
• Possess advanced development of deployment automation including Ansible
• Development of automation and configuration management solutions using tools such as Jenkins
• Securing automated deployments using tools such as Hashicorp Vault
• Securing infrastructure with micro-segmentation tools such as Guardicore
• Documentation of processes, procedures, and configurations
• Coordination with other technical staff to implement systems and software
• Performance of operations support functions, including problem isolation and resolution
• Documentation of processes, procedures, configurations, and deployment plans
• Provide critical technical leadership in the areas of operational process and change management, and mentor less experienced engineers
• Participate in a 24x7 on call rotation

Our ideal candidate will have a unique blend of impeccable technical skills and a desire to work as part of a team to grow themselves and those around them. The team deploys engineers and operates enabling infrastructure in support of mission critical customer applications. The candidate must have:

• Bachelor’s degree in computer science or a related technical field, or equivalent combination of education and experience
• 10+ years of experience developing and operating mission-critical systems
• Excellent understanding of Linux configuration and administration
• Strong experience with a high-level scripting language such as Python
• Strong automation experience - not just developing automation, but knowing why we automate and what to automate
• Strong understanding of infrastructure-as-code
• Strong written and verbal communication skills – able to clearly and succinctly describe complex issues
• Strong understanding of network protocols and security
• Experience developing mature solutions for monitoring and reporting using tools like Grafana and Splunk
• Familiarity with development tools such as Github, Jira, and Confluence

Desired Skills, Experience, and Attributes:

• Deployment automation experience using tools such as Ansible
• Experience using Jenkins in a continuous delivery and integration environment
• Experience with Virtualization platforms in a production environment such as oVirt and VMWare
• Experience with HTTP proxies such as Squid
• Experience with RedHat Enterprise Linux
• Experience with CMDB and ITIL platforms such as ServiceNow
• Experience with RedHat Identity Manager and/or FreeIPA
• Experience with Linux authentication via Active Directory
• Experience administrating Linux and Unix systems in a large-scale environment
• Experience working with teams using Scrum a plus

The pay range is $164,300 - $222,300.

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

This position is based in our Reston, VA office and offers a hybrid work schedule.

We are looking for a Production Operations Engineer to help lead our team responsible for building, managing, maintaining and scaling operational infrastructure on which our mission-critical services are deployed or depend.  We prize engineering professionals who are equipped with great technical skills and attitudes that motivate those around them.  We seek individuals with a sense of purpose and for whom detail and craftsmanship are of their essence; individuals that are curious, demonstrate initiative, and love solving problems.

Responsibilities:

• Participate in technical designs for software solutions that combine Open-Source components, COTS (commercial off the shelf) components, and custom developed components
• Installation, configuration and maintenance of production, QA and development environments in which Verisign applications are deployed; environments include servers, operating systems, OpenStack, and automation tools
• Development of deployment automation tools including Ansible
• Development of enabling infrastructure using Terraform
• Coordination with other technical staff to implement systems and software
• Performance of occasional operations support functions, including problem isolation and resolution
• Documentation of processes, procedures, configurations, and deployment plans
• Provide critical technical leadership in the areas of operational process and change management, and mentor less experienced engineers
• Regularly reporting progress to management
• Participate in a 24x7 on call rotation

Our ideal candidate will have a unique blend of impeccable technical skills and a desire to work as part of a team to grow themselves and those around them.  The team deploys engineers and operates enabling infrastructure in support of mission critical customer applications.  

The candidate must have:

• Bachelor’s degree in Computer Science or a related technical field, or equivalent combination of education and experience
• 8+ years of experience developing and operating mission-critical systems
• Excellent understanding of Linux configuration and administration
• Strong automation experience - Not just developing automation, but knowing why we automate and what to automate
• Strong understanding of infrastructure-as-code
• Strong written and verbal communication skills – able to clearly and succinctly describe complex issues
• Familiarity with networking protocols and systems

Desired Skills, Experience, and Attributes:

• Experience with RedHat Identity Manager and/or FreeIPA
• Experience with ServiceNow
• Experience with a high-level scripting language such as Python
• Experience with RedHat Enterprise Linux and/or FreeBSD
• Experience with network troubleshooting using such tools as ping, traceroute and dig
• Deployment automation experience using tools such as Ansible
• Experience working with teams using Kanban and/or Scrum a plus
• Experience with Docker or Kubernetes in a production environment
• Experience with OpenStack in a production environment
• Experience administrating Unix systems in a large-scale environment
• Experience using Jenkins in a continuous delivery and integration environment

The pay range is $135,800 - $183,800. 

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

The Sr Manager - Information Security, Tools and Engineering, is responsible for developing and collaborating across departments to implement Verisign's information security program. The primary goal of the this role is to lead the implementation and operational maturity of the organization’s security tooling ecosystem. This role oversees the engineering team responsible for deploying, integrating, monitoring, automating and maintaining security technologies that enable detection, prevention and response across the enterprise.

This is a hands-on technical leadership role. The ideal candidate combines strong technical depth in security tooling with proven leadership experience, and demonstrates a commitment to automation, scalability and engineering-driven security operations.

Key responsibilities:

• Supports implementation, stabilization, and daily performance of security tooling
• Lead lifecycle management of enterprise security tools and platforms
• Manage and mentor a team of senior security engineers responsible for deployment, integration, tuning and operational management of security technologies
• Drive and develop automation and an engineering first approach to reduce manual efforts
• Partner with security operations to ensure tools support operational workflows
• Establish metrics, KPIs and maturity roadmaps for security tooling effectiveness
• Ensure tools are configured, proactively monitored and maintained according to security best practices
• Drive continuous improvement of detection coverage, automation and operational efficiency

Qualifications:

• 4-year bachelor's degree in Computer Science, a related field, or equivalent work experience required; graduate degree in Computer Science or a related field, preferred
• 8+ years of experience in security engineering
• 2+ years of experience managing security engineering or security tooling teams
• Strong hands-on experience with deploying and maintaining enterprise security platforms such as SIEM, EDR, VM, Cloud Security and Security Orchestration and Automation tools
• Strong scripting and automation skills including Python and experience building automation workflows, integrations or tooling to support security operations
• Ability to balance strategic vision with hands-on technical oversight
• CISSP, CISM, CEH, or GPEN, preferred

This position is based in our Reston, VA office and offers a hybrid work schedule.

The pay range is $164,300 - 222,300.

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

Seeking enthusiastic candidates for a truly exciting opportunity to strengthen and extend the core security substrate at the heart of the Internet. Successful candidates for this position will be in a position to make fundamental and broadly impactful enhancements to the very foundations of Internet security. The Sr Engineer - Research Engineering plays a lead technical role in identifying and developing novel and operationally relevant research concepts related to Internet infrastructure applications and protocols.  The applicant is expected to be ready to understand how technology impacts Verisign's business and pursue solutions that will mitigate risk or accelerate opportunities for Verisign's business.  This role is responsible for collaborating on integration strategies for technologies across the company and the industry.

Key responsibilities:

• Works closely with business and technology leaders to identify research and development opportunities based on long-term business strategy and objectives. Provides business and technology leaders with active support enhancing the forward direction and innovative potential of their areas.
• Develops real world solutions to difficult technology problems through innovative yet programmatic approaches.
• Develops compelling and easy to understand use cases as well as software and systems prototypes.
• Serves as a recognized technical expert. Mentors and provides guidance to more junior level engineers.  Coordinates and provides leadership in interdepartmental research projects and efforts, for example, organizing and directing the Research summer internship program.
• Represents Verisign in related external forums to build our reputation as an industry thought leader; publicizes research results in appropriate internal and external forums.

Education and experience requirements:

• Bachelors and Masters degrees in Computer Science, Engineering or a related technical field are required; PhD is preferred
• 8-10+ years’ experience in research engineering, ideally with a mix of professional and academic experience
• Experience with systems development research and/or prototype development
• Experience with network security, including cryptography, privacy, identification, and authentication
• Experience presenting ideas and prototypes at public forums, such as technical conferences
• Authorship on one or more peer reviewed publication(s)
• Experience with open standard Internet protocols and/or services (such as DNS, IP, RDAP, etc.)
• Experience with large scale data analysis and evaluation of network traffic data
• Deep hands on technical skills combined with experience working in research teams on fast paced, high impact projects
• Knowledge of *nix operating systems
• Strong development background
• C, C++, Java, and/or Python
• SQL, NoSQL, or equivalent data storage schema creation and use

This position is based in our Reston, VA office and offers a hybrid work schedule.

The pay range is $164,300 - 222,300.

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

Verisign is seeking a Senior Manager, Cloud Engineering with a strong foundation in full-stack development to lead the strategy, development, and reliability of our cloud footprint. This role is ideal for an experienced professional with hands-on expertise in modern web and backend technologies, cloud solutions who prioritizes security, stability, and performance. You will leverage your technical skills and leadership to ensure our cloud presence operates efficiently and securely while aligning with business objectives and minimizing risks.

As a technical leader, you will oversee the design, development, and maintenance of APIs & web platforms, guiding their migration to AWS with a focus on reliability and scalability. You’ll champion best practices in secure full-stack development and drive unified solutions for automation, deployment, and monitoring. Your role will emphasize risk reduction by implementing robust security measures, proactively mitigating threats, and ensuring compliance with industry standards. You’ll also optimize for cloud-native architectures while implementing best practices to improve reliability, performance, responsiveness, stability of our services while efficiently managing cost in the cloud. Collaboration and leadership are key while fostering a culture of excellence while aligning efforts with business objectives. You’ll work with cross-functional teams and set clear KPIs to track performance, risks, and system health. Strategically, you’ll define a unified vision for the company’s cloud presence, staying ahead of trends to future-proof systems. By prioritizing risk management and operational efficiency, you’ll ensure the long-term success of all cloud initiatives.

Why Join Us?

• Lead mission-critical initiatives to ensure the security, reliability, and performance of our digital presence
• Drive impactful work in a collaborative environment with a focus on risk management and operational excellence
• Use your full-stack development skills to architect and manage high-performing, secure web solutions
• Enjoy competitive compensation, comprehensive benefits, and opportunities for professional growth
• Engage with the senior leadership at the company directly to influence roadmap for Web Presence

Requirements:

• 8+ years of experience in leadership roles managing cloud development and operations teams
• Bachelor’s degree in Computer Science, Information Systems, or a related technical field
• Skilled at mentoring and developing team members while fostering a culture of curiosity and innovation
• Proven expertise as a full-stack developer, with hands-on experience in modern front-end frameworks (e.g., React, Angular) and back-end technologies (e.g., Java, Python)
• Proven experience in cloud, preferably with AWS
• Adept at aligning team strengths with project requirements to optimize performance and create growth opportunities
• Extensive experience managing external-facing web properties with a focus on user experience, operational excellence, and reliability
• Demonstrated ability to mitigate risks, ensure compliance, and deliver secure, stable platforms

This position is based in our Reston, VA office and offers a hybrid work schedule

The pay range is $164,300 - $222,300. 

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

We are seeking an experienced Senior Engineer - ServiceNow Platform with deep technical expertise in IT Service Management (ITSM), IT Asset Management (ITAM), Platform Integrations, Discovery. The ideal candidate will have proven experience designing, implementing, and managing complex ServiceNow platform solutions. This role will involve overall platform implementation, driving innovation, ensuring system optimization, and responsible for solution design for platform delivery. Ideal candidates demonstrate strong leadership skills to guide technical teams and business stakeholders.

Key Responsibilities:

• Platform Strategy:
• Lead the overall design of the ServiceNow platform, ensuring alignment with business goals and industry and technical best practices.
• Collaborate with business leaders, stakeholders, and technical teams to develop and implement innovative solutions using ServiceNow platform.
• Define platform roadmaps, by ensuring scalability, performance, stability, and audit compliance.
• Lead the design of workflows, integrations, and modules to extend the ServiceNow platform’s capabilities.
• ServiceNow Implementation & Optimization:
• Drive the end-to-end implementation of ServiceNow solutions, focusing on Core foundation, ITSM, ITAM, ITOM, SecOPs, GRC, TPRM, and other relevant modules.
• Manage platform upgrades and ensure all applications are optimized and adhere to enterprise security and compliance standards.
• Provide technical guidance to configure, customize, and develop on the ServiceNow platform based on business needs.
• Manage the documentation of solutions, internal technical and process knowledge base materials, and training of process owners and stakeholders.
• Leadership:
• Provide process governance and technical best practices.
• Providing mentorship and guidance for a team of ServiceNow engineers
• Work closely with cross-functional teams (IT, Security, Engineering, Finance, HR) to drive adoption and ensure platform success.
• The ability to meet strict deadlines and other targets both individually and as the leader of multiple teams, strong decision maker.
• Stakeholder Engagement & Communication:
• Engage with executive leadership and management to understand business objectives, providing solutions that deliver tangible value and measurable outcomes.
• Coordinate with ServiceNow team management to ensure clear communication regarding project status, challenges, and milestones.
• Continuous Improvement:
• Establish technical governance and best practices to continuously improve platform performance and operational efficiency.
• Stay current with the latest ServiceNow trends, releases, and best practices, proactively applying new technologies and functionalities to enhance the platform.
• Create a safe space for engineering team members to experiment with technical solutions that may solve organizational problems.

Required Qualifications:

• Experience:
• 8+ years of experience with ServiceNow, including deep technical expertise in ITSM, ITAM, ITOM, SecOPs, GRC, and TPRM modules.
• Strong experience in architecture and design of ServiceNow platform implementations, including workflows, custom apps, and integrations.
• Proven experience leading technical teams, process governance and delivering large-scale projects.

• Technical Skills:
• Proficiency with scripting languages (JavaScript, Glide, etc.) in the context of ServiceNow platform development and Service Portal (HTML, CSS, AngularJS, SASS, Bootstrap)
• Strong understanding of CMDB, Asset Management, Discovery, Portal, Incident, Problem, and Change Request Management processes.
• Experience integrating ServiceNow with external systems via REST/SOAP APIs, Integration Hub and Spokes.
• Nice to have Perl and Python programming in Linux environment.
• Experience with Agile, Scrum and Kanban development methodologies.

• Leadership & Communication:
• Demonstrated ability to mentor technical teams, ensuring a collaborative and high-performance culture.
• Excellent verbal and written communication skills, with the ability to present complex technical concepts to business leaders and stakeholders.

• Education/Certifications:
• Bachelor's degree in IT, Business, or related field preferred or equivalent work experience.
• ServiceNow Certified Implementation Specialist (ITSM, ITAM, or similar).
• ServiceNow Certified System Administrator (CSA).
• ServiceNow Certified Application Developer (CAD).
• ITIL v3/v4 certification is a plus.
• Certified Technical Architect (CTA) is a big plus.

This position is based in our Reston, VA office and offers a hybrid work schedule.

The pay range is $135,800- $183,800.

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

Software Validation Engineer, Energy Storage 

The Redwood Vision: Architecting the Future of the Grid 

We are at the precipice of a global energy transition. At Redwood Materials, we are moving beyond battery recycling to build the most advanced, circular energy ecosystem on the planet. Our goal is to shift the industry from static, hardware-heavy infrastructure toward agile, software-defined energy assets. The Software Validation team ensures that these complex systems are safe, resilient, and ready for grid-scale deployment. 

As a Software Validation Engineer, you are the bridge between pure code and physical reality. You will design and maintain the environments—Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL)—that allow us to stress-test our power electronics and site controllers. Your mission is to build the automated frameworks that catch edge cases before they hit the field, ensuring every product we ship meets the highest standards of reliability. 

Key Responsibilities 

• Validation Environment Design: Architect and scale our SIL and HIL environments (using platforms like Typhoon HIL, Opal-RT, or similar) to provide high-fidelity simulations of battery assets and grid conditions
• Test Automation Frameworks: Lead the development of automated test suites in Python. You will transition our validation processes from manual intervention to a fully automated, scalable framework
• V&V Strategy: Define and execute comprehensive Verification and Validation (V&V) plans, ensuring all software requirements for the site controller and embedded power electronics are met under normal and fault conditions
• CI/CD Integration: Integrate automated HIL/SIL testing into our CI/CD pipelines, providing real-time feedback to the development teams and serving as the final gate for production-ready code
• Hardware-in-the-Loop Interfacing: Design custom interface hardware and wiring for HIL benches, bridging physical I/O from our controllers to simulated power stages
• Root Cause Analysis: Work closely with the firmware and systems teams to debug complex failures found during validation, using logic analyzers, oscilloscopes, and telemetry logs to pinpoint issues

Qualifications 

• Background: A BS or MS in Electrical Engineering, Computer Engineering, or a related field, combined with 2+ years of professional experience in software validation or test automation for hardware-focused systems
• HIL/SIL Mastery: Proven experience with real-time simulation platforms (Typhoon HIL, Opal-RT, or dSPACE) and a deep understanding of how to model power electronics components in a virtual environment
• Automation Toolchain: Expert proficiency in Python (specifically for test automation frameworks like Pytest) and familiarity with Rust and C/C++ to navigate embedded codebases
• Hardware Literacy: Comfortable in a high-voltage lab environment. You should be proficient with standard lab equipment (oscilloscopes, power supplies, electronic loads) and digital protocols like CAN, SPI, and Ethernet
• Systematic Thinking: A dedicated mindset for "breaking" software. You have a track record of finding critical edge cases in complex state machines and control loops
• Infrastructure: Experience with Git, Jenkins/GitHub Actions, and containerization tools like Docker for managing consistent test environments

Senior Software Engineer, Energy Storage

This position is on a team building the software platform that powers optimized control and market participation of battery energy storage systems (BESS) — software that runs both on site controllers and in the cloud. Our scope spans the full stack: compute infrastructure, telemetry, asset modeling, alerting, feature ingestion and storage for forecasting and optimization, simulation and operational control orchestration, and integration with energy markets. We're a lean team that holds ourselves to high standards in both the quality of what we build and the speed at which we build it. We value collaboration, trust, learning, and engineering excellence, and we genuinely enjoy building great things together.

Responsibilities will include:

• Contribute to BESS data engineering — building and maintaining telemetry pipelines and stores, and feature ingestion and storage systems for forecasting and optimization
• Design, build, and maintain simulation and training infrastructure — platforms for running and orchestrating simulations at scale
• Develop and operate real-time forecast and optimization workflows, orchestrating pipelines that drive BESS operations
• Support energy market integration, including data ingestion and bid management
• Collaborate across the full stack and across team boundaries to ensure the product system works well as a whole
• Write well-tested, well-monitored software and iteratively improve it over time
• Apply AI tools to accelerate development while maintaining high system design quality and code standards

Desired Qualifications: 

• Strong software design instincts — thinks in systems, reasons from first principles, and understands the real-world challenges of building available, reliable, scalable, and secure distributed systems
• Comfortable using AI tools to move faster without letting them erode system design or code quality
• Excellent collaborator — communicates clearly, listens well, and makes the people around them better
• Bias toward action — takes initiative, makes progress in ambiguous situations, and doesn't wait for perfect information
• Systems thinker and owner — willing to think and collaborate across team boundaries to make sure the product works well as a whole
• Rigorous about quality — writes well-tested, well-monitored software and iterates on it over time
• B.S. or advanced degree in Software Engineering, Computer Science, or another discipline, combined with 2-5 years of experience in software engineering.
• Experience with relevant technologies a plus: Kubernetes, Rust, Python, NATS, PostgreSQL/TimescaleDB, SQLite
• A passion for sustainability and making the world a better place! 

Location: Remote in US

Position Type: Contractor, Full Time

Role Description:

As an Applied AI Engineer at ShipBob, you will lead the shift from manual workflows to autonomous operations. You won’t just be building chatbots; you will be architecting agentic systems that reason, use tools, and execute complex business logic independently.

This is an "AI-First" engineering role where you will embed directly with business teams to map out operational friction and rapidly deploy end-to-end agentic solutions. From designing multi-agent orchestrations to building the "glue" code that connects LLMs to our core logistics APIs, you will be responsible for operationalizing AI at scale. We are looking for a high-agency builder who thrives in ambiguity and is obsessed with the transition from "software that waits for input" to "agents that take action."

What you’ll do:

• Architect Agentic Workflows: Design and implement autonomous agents capable of handling multi-step reasoning, tool-calling, and error recovery.
• Operational Discovery: Embed with logistics and support teams to identify high-impact opportunities for agentic intervention.
• End-to-End Ownership: Own the entire agent lifecycle: Discovery → Agent Architecture → Prompt Engineering/Fine-tuning → Hardening → Production Deployment.
• Build for Reliability: Develop robust guardrails, evaluation frameworks, and logging systems to ensure agents perform predictably in a high-stakes supply chain environment.
• Contribute to the "Agent Hub": Document and publish reusable agent modules and toolsets to accelerate AI enablement across the entire organization.
• Rapid Iteration: Bridge the gap between "cool demo" and "production tool" by shipping small, gathering feedback from domain experts, and iterating fast.

What you’ll bring to the table:

The work we do at ShipBob is both challenging and rigorous, which means our environment isn’t the right fit for everyone, and that’s okay. We welcome energetic high performers who thrive in a dynamic, collaborative, results-driven environment. We value individuals who embrace accountability and humility, push boundaries, and are motivated by challenging work. Every team member, no matter their role or tenure, is expected to roll up their sleeves and tackle the complex problems we face in today’s global supply chain.

Key Skills:

• You think like a founder, thrive in ambiguity, and are excited to challenge assumptions to deliver impactful solutions.
• Agentic Expertise: Deep understanding of modern agent architectures (e.g., ReAct, Plan-and-Execute) and orchestration frameworks (e.g., LangGraph, CrewAI, or Semantic Kernel).
• Engineering Rigor: 1–3 years of software engineering experience (or a standout portfolio of agentic projects) with strong proficiency in Python and .NET.
• LLM Proficiency: Hands-on experience with LLM APIs (OpenAI, Anthropic) and a proven ability to translate raw model outputs into structured, deterministic actions.
• Systems Thinking: Experience building retrieval pipelines (RAG), working with vector databases, and designing clean APIs that agents can easily consume.
• Full-Stack Mindset: Ability to build the lightweight dashboards and interfaces (Vue.js/React) necessary for humans to interact with and monitor your agents.
• Bias for Action: You prefer a working prototype over a long slide deck. You are comfortable challenging assumptions to deliver impactful, automated outcomes.

About the role

Thatch is rewiring how health benefits work. We build software that gives employees real control over how they use their benefits.

We’re looking for a Backend Software Engineer to design and build the core systems that power Thatch. This includes data models, fund flows, automations, and integrations that make healthcare benefits work reliably at scale. Your work ensures money moves correctly, benefits remain compliant, and complex processes work reliably. This work touches real money and real healthcare decisions. The systems you build must be correct, resilient, and built to scale.

We organize engineering around the people we serve: members, employers, and partners, so teams own end-to-end experiences and ship with speed and accountability.

About the role

Thatch is rewiring how health benefits work. We build software that powers employer-funded coverage and gives employees real control over how they use their benefits.

We’re looking for a Full Stack Software Engineer to own broad product surfaces, from concept to production. You’ll build across the frontend and backend systems that power onboarding, benefits management, and payments. This work touches real money and real healthcare decisions. Correctness and reliability matter, but so does making the experience feel simple for the people using it.

We organize engineering around the people we serve: members, employers, and partners, so teams own end-to-end experiences and ship with speed and accountability.

What you'll do

• Take ownership of meaningful product areas from idea through production.
• Ship quickly, but never at the expense of correctness or long-term maintainability.
• Contribute across the stack, from user-facing interfaces to backend services.
• Translate real user and business needs into clear, pragmatic technical solutions.
• Set and uphold a high bar for code quality, system design, and product polish.
• Take responsibility for production systems, including reliability, debugging, and continuous improvement. 

What we are looking for

• Experience building and shipping production web applications across the stack.
• Strong product judgment and comfort working through ambiguity.
• Ability to reason about complex systems and business logic.
• Familiarity with modern engineering tools and frameworks.
• A track record of ownership, cross-functional collaboration, and good technical decision-making.

We hire engineers across multiple levels and care most about the scope you’ve owned, the impact you’ve had, and how you make decisions.

Tools and tech stack

• Ruby on Rails for backend systems.
• React and TailwindCSS for the frontend.
• Small amounts of Python and backend JavaScript where appropriate. 

Prior Ruby experience is helpful but not required. We care far more about how you think than which language you know.

Experience that stands out

• Work in healthcare, finance, or other complex or regulated domains.
• Experience with HR, payroll, payments, or partner-facing systems.
• Ownership of systems with real operational or financial impact.

How we work

• We move quickly and bias toward action.
• We ship early, learn from real usage, and iterate.
• We operate with trust, ownership, and high empathy.
• We value clarity over ceremony and quality over shortcuts.

What to expect

We aim to keep the process thoughtful, rigorous, and efficient. Most candidates complete it within three weeks. You can expect:

• An initial conversation with a recruiter.
• A collaborative pair programming session.
• A systems design interview and a separate conversation with one of our engineers about how we work together.
• A final conversation with engineering and company leadership.

Operations Program Manager

We are seeking a highly technical Operations Program Manager to lead build readiness & internal ramp execution for hardware manufacturing. This role requires strong hands-on manufacturing engineering instincts, the ability to dive into process capability and equipment readiness, and real experience improving throughput, yield, and reliability at production facilities. You will manage builds from prototypes to mass production, working with cross-functional teams to ensure processes are capable and stable at scale.

Responsibilities will include:

• Drive cross-functional execution from NPI through mass production, aligning Engineering, Manufacturing, Supply Chain, Quality, Finance, and external stakeholders to meet build and ramp targets
• Define ramp success criteria, build plans, and phase-gate reviews to enable smooth transition from proto → pilot → MP → scale
• Manage program schedules, risks, and dependencies; maintain clear dashboards and communication, escalating critical issues with data-driven options for resolution
• Own factory and supplier readiness for PCBA & box builds: lead technical reviews, capacity & CapEx planning, process qualification, line bring-up, and on-site build support
• Drive yield improvement and issue closure by partnering with internal teams and manufacturing sites to validate process, test coverage, and quality systems
• Lead root cause, containment, corrective action, and long-term process improvements
• Establish run-at-rate requirements and validate capacity at suppliers and internal sites
• Identify bottlenecks and implement solutions for cycle-time reduction, debottlenecking, and throughput increase
• Serve as the primary interface between internal product teams and external manufacturing partners to ensure aligned execution and accountability
• Support go-to-market operational readiness, ensuring supply availability, logistics, and sustaining plans are in place for launch and scale

Desired Qualifications:

• 5+ years in program management, CM operations, manufacturing & process engineering, supplier industrialization, or technical operations in high-volume hardware
• Demonstrated success improving yield, throughput, cycle time, and OEE in production
• Hands-on experience with PPAP/APQP, DOE, SPC, PFMEA, GR&R, control plans
• Strong data analysis skills: Excel/Sheets; SQL, JMP, Minitab or Python beneficial
• Ability to read mechanical and electrical drawings
• Experience in automotive or power electronics manufacturing
• Experience scaling hardware production from lab/pilot → volume manufacturing

We are seeking a highly motivated and experienced Senior FinOps Engineer to join our team. This role is central to managing, optimizing, and forecasting our technology spending across multiple platforms, including major cloud providers, monitoring tools (like Datadog), and emerging technologies such as Large Language Models (LLMs). The ideal candidate will possess a strong blend of financial acumen, cloud engineering expertise, and excellent communication skills to drive cost-conscious decision-making across the organization.

Responsibilities

Financial Management and Optimization

• Monitor, analyze, and report on technology spending across various cost centers, including cloud infrastructure (AWS, Azure, GCP, etc.), Datadog licensing, and usage of LLM APIs/services.
• Develop and maintain detailed monthly financial reports and dashboards for leadership, providing clear insights into spend trends, variances, and optimization opportunities.
• Collaborate with engineering and product teams to implement cost-saving initiatives, such as identifying underutilized resources, negotiating reserved instance commitments, and optimizing service architectures.
• Establish and track key FinOps metrics (e.g., unit cost, utilization rate, efficiency gains) and drive accountability for spending.
• Conduct monthly deep-dive analyses on significant cost drivers, making actionable recommendations for adjustment and optimization.

Tooling, Reporting, and Automation

• Administer and configure FinOps tools and platforms to ensure accurate cost allocation, showback/chargeback mechanisms, and real-time visibility into spending.
• Develop and maintain custom scripts and automation workflows to enforce spending policies and manage resource lifecycles (e.g., auto-shutdown of non-production environments).
• Standardize and streamline reporting processes, leveraging data visualization tools to present complex financial data simply and effectively.

Vendor and Contract Management

• Assist in the evaluation, negotiation, and renewal processes for technology contracts, including cloud enterprise agreements, Datadog licenses, and LLM service subscriptions.
• Work closely with procurement and legal teams to ensure contracts align with business needs and financial objectives, focusing on optimal pricing and usage tiers.
• Monitor vendor performance against contractual agreements and track realization of anticipated savings.

Governance and Education

• Establish and champion FinOps best practices and governance frameworks across engineering and finance teams.
• Develop and deliver training and documentation to educate teams on cost management tools, cloud pricing models, and optimization techniques.
• Act as a central point of contact for all cloud, Datadog, and LLM spending inquiries.

Qualifications

Required Skills and Experience

• 3+ years of experience in a FinOps, Cloud Financial Management, or similar role.
• Deep understanding of major public cloud billing and pricing models (AWS, Azure, or GCP).
• Proven ability to build and maintain comprehensive financial reports and dashboards for executive leadership.
• Experience administering or utilizing cost monitoring and observability tools, with specific knowledge of Datadog usage/licensing preferred.
• Proficiency in data analysis tools (e.g., SQL, Python, Excel) and data visualization platforms (e.g., Tableau, Power BI, Looker).
• Familiarity with contract negotiation principles and vendor management processes.
• Strong communication skills, with the ability to translate technical cost data into clear business terms.

Desired Qualifications

• FinOps Certified Practitioner (FOCP) or FinOps Certified Professional certification.
• Experience managing costs related to machine learning, AI, or LLM services (e.g., OpenAI, Anthropic, or cloud-native LLM services).
• Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and their role in cost governance.
• Bachelor’s degree in Computer Science, Finance, Business, or a related quantitative field.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

As a Senior DevOps Engineer, you will be a key contributor to our infrastructure strategy, focusing on automation, stability, and performance across both cloud and on-premise environments. You will drive best practices in CI/CD, configuration management, and monitoring, with a specific focus on optimizing the deployment and operation of large language models (LLMs) and related technologies.

Responsibilities

• Design, deploy, and manage highly available, scalable infrastructure using Kubernetes and Docker across public cloud (e.g., AWS, GCP, Azure) and on-premise data centers.
• Develop and maintain robust Configuration Management solutions (e.g., Ansible, Terraform) for consistent environment provisioning and management.
• Implement and manage CI/CD pipelines to facilitate rapid, reliable, and automated software releases.
• Administer and troubleshoot operating systems, encompassing both Linux and Windows environments.
• Implement and optimize observability practices using monitoring tools like Datadog for logging, tracing, and alerting.
• Spearhead the operational deployment, scaling, and maintenance of LLM infrastructure, leveraging tools like LiteLLM, OpenRouter, or similar LLM orchestration/gateway technologies.
• Automate repetitive tasks and system operations using scripting languages, primarily Bash and Python.
• Collaborate closely with development, MLOps, and security teams to ensure infrastructure supports product requirements and compliance standards.
• Participate in an on-call rotation to ensure service reliability and responsiveness to incidents.

Qualifications

Required Skills

• 5+ years of professional experience in a DevOps, SRE, or infrastructure engineering role.
• Deep expertise in containerization and orchestration, specifically Kubernetes (design, deployment, and troubleshooting) and Docker.
• Strong proficiency in managing infrastructure in both Cloud (e.g., AWS, GCP, Azure) and On-Premise environments.
• Expert-level administration skills in Linux and strong working knowledge of Windows Server environments.
• Proven experience with Infrastructure as Code (IaC) and Configuration Management tools (e.g., Terraform, Ansible).
• High proficiency in scripting and automation using Python and Bash.
• Extensive experience with monitoring and observability platforms, especially Datadog (or comparable tools like Prometheus/Grafana, New Relic).
• Hands-on experience deploying and managing technologies related to Large Language Models (LLMs), such as utilizing LiteLLM, OpenRouter, or setting up and managing LLM serving endpoints.

Nice-to-Have Skills

• Experience with specific Kubernetes distributions (e.g., K3s, Rancher, OpenShift).
• Familiarity with network configuration, firewalls, and security best practices for hybrid environments.
• Experience in MLOps workflows and related tools (e.g., MLflow, Kubeflow).
• Certifications such as CKA, CKAD, or relevant cloud provider certifications.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

We are looking for a heavy-hitter to build the "Data Backbone" of our company. You will be responsible for the architecture, scaling, and reliability of the infrastructure that powers our Data Engineering and ML teams. Your goal is to provide a seamless, self-service environment where data scientists can go from a JupyterHub notebook to a massive Ray cluster or Trino query without worrying about the underlying hardware.

Responsibilities

• Data Plane Ownership: Architect and manage the lifecycle of high-throughput data tools including Trino, Ray, and JupyterHub on Kubernetes.
• GitOps & Automation: Drive a "zero-manual-touch" philosophy using ArgoCD and Terraform to manage complex, stateful data environments.
• Observability at Scale: Build high-cardinality monitoring systems using VictoriaMetrics and Vector to track pipeline health, data ingestion rates, and system performance.
• ML Lifecycle Support: Maintain and optimize MLflow for model tracking, ensuring it integrates deeply with our compute and storage layers.
• Engineering Sovereignty: As a self-starter, you will identify performance bottlenecks in data processing and proactively implement infrastructure-level optimizations.
• Reliability: Participate in on-call rotations for the data stack, treating "data downtime" with the same urgency as a site outage.

The Technical Toolkit

Qualifications:

• The "Data-Aware" Engineer: You understand that scaling a database or a Ray cluster is different from scaling a stateless API. You know how to handle persistent volumes and data gravity.
• Senior Leadership: You’ve spent time in the trenches. You’ve been on-call for 2:00 AM outages and have built the automation to ensure those outages never happen twice.
• Tooling Polyglot: You don't just use tools; you contribute to them. You are comfortable writing Go or Python to extend Kubernetes Operators or automate data workflows.
• Self-Directed: You thrive in ambiguity. You can take a high-level requirement ("Make Trino faster") and turn it into a multi-week infrastructure roadmap.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $182,400 - $228,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

ABOUT THE JOB

As the Sr. Manager of Manufacturing Test Engineering, your role encompasses the strategic oversight and tactical management of production systems to support high-volume products across the Anduril portfolio. You are charged with ensuring rigorous testing protocols are in place, resulting in the consistent delivery of superior quality products to our customers. Furthermore, your leadership guarantees the fulfillment of manufacturing's test throughput requirements. This position demands an innovative approach to resolving complex testing challenges, advancing scalability, and enhancing our automation, throughput, user interfaces, and data analytics methodologies.

WHAT YOU’LL DO

• Direct the manufacturing test engineering team, set objectives, guide initiatives, and assess team outcomes.
• Architect and oversee the manufacturing test strategy for each product to ensure scalable operations across Anduril, transitioning from pre-production to full-scale output.
• Strategize and implement advancements in manufacturing testing, focusing on automation, uniformity, and operational streamlining.
• Evaluate test data, compile findings, and identify opportunities for product and process enhancements.
• Communicate strategic visions to key stakeholders, guiding the scaling of platforms from pre-production (LRIP) through to mass production (FRP).
• Collaborate with product development for design testability, ensuring seamless production integration.
• Lead the procurement and implementation of new test equipment, performing cost-benefit and ROI analyses as needed.
• Champion initiatives that enhance safety, reduce costs, improve quality, and increase productivity through testing.
• Cultivate a culture focused on innovation, collaboration, and accountability in the engineering department.
• Act as the go-to technical authority for manufacturing test matters, advising on and troubleshooting complex issues.
• Design proactive maintenance and calibration protocols for manufacturing test equipment.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Electrical/Electronics, Computer, Mechanical Engineering, or a related field.
• Minimum of 5 years of relevant industry experience leading manufacturing test engineering.
• Expertise in Linux, C#, Python, and NixOS.
• Solid experience with PCBA/electronic assembly testing and knowledge of testing standards.
• Proficiency in using electronic test equipment.
• Strong analytical skills for root cause analysis of non-conforming hardware.
• Familiar with Product Life Cycle (PLM) systems, Manufacturing Execution Systems (MES), and Test Execution Systems (TES)
• Experience in managing projects that integrate electrical, mechanical, and software/firmware systems.
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS

• Advanced degree in a relevant engineering discipline.
• Demonstrated ability to lead the development of manufacturing test systems and teams.
• Proficiency in LabVIEW, MATLAB, and test automation.
• Knowledge of PCBA design, mechanical design, and ESS testing.
• Familiarity with various hardware communication protocols.
• Experience with HASS & ESS-related testing (Thermal, Vibration, etc.)
• Eligible to obtain and maintain an active U.S. Secret security clearance.

ABOUT THE JOB

Intelligence Systems is focused on positioning Anduril as a lead provider of specialized engineering and products for Intelligence Community (IC) customers. We work within the IC to understand their requirements, shape their concepts of operation, and deliver exquisite capability across their problem set. We aim to develop and deploy critically needed capabilities that address our customers’ most pressing national security requirements. As the Manager of Manufacturing Test Engineering, your role encompasses the strategic oversight and tactical management of production systems to support high-volume products across the portfolio. You are charged with ensuring rigorous testing protocols are in place, resulting in the consistent delivery of superior quality products to our customers. Furthermore, your leadership guarantees the fulfillment of manufacturing's test throughput requirements. This position demands an innovative approach to resolving complex testing challenges, advancing scalability, and enhancing our automation, throughput, user interfaces, and data analytics methodologies.

This role will be based temporarily at Santa Ana, CA for a 3 month training period before transitioning to Asheville, OH.

WHAT YOU’LL DO

• Direct the manufacturing test engineering team, set objectives, guide initiatives, and assess team outcomes.
• Architect and oversee the manufacturing test strategy for each product to ensure scalable operations across Anduril, transitioning from pre-production to full-scale output.
• Strategize and implement advancements in manufacturing testing, focusing on automation, uniformity, and operational streamlining.
• Evaluate test data, compile findings, and identify opportunities for product and process enhancements.
• Communicate strategic visions to key stakeholders, guiding the scaling of platforms from pre-production (LRIP) through to mass production (FRP).
• Collaborate with product development for design testability, ensuring seamless production integration.
• Lead the procurement and implementation of new test equipment, performing cost-benefit and ROI analyses as needed.
• Champion initiatives that enhance safety, reduce costs, improve quality, and increase productivity through testing.
• Cultivate a culture focused on innovation, collaboration, and accountability in the engineering department.
• Act as the go-to technical authority for manufacturing test matters, advising on and troubleshooting complex issues.
• Design proactive maintenance and calibration protocols for manufacturing test equipment.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Electrical/Electronics, Computer, Mechanical Engineering, or a related field.
• Minimum of 5 years of relevant industry experience leading manufacturing test engineering.
• Expertise in Linux, C#, Python, and NixOS.
• Solid experience with PCBA/electronic assembly testing and knowledge of testing standards.
• Proficiency in using electronic test equipment.
• Strong analytical skills for root cause analysis of non-conforming hardware.
• Familiar with Product Life Cycle (PLM) systems, Manufacturing Execution Systems (MES), and Test Execution Systems (TES)
• Experience in managing projects that integrate electrical, mechanical, and software/firmware systems.
• Active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Advanced degree in a relevant engineering discipline.
• Demonstrated ability to lead the development of manufacturing test systems and teams.
• Proficiency in LabVIEW, MATLAB, and test automation.
• Knowledge of PCBA design, mechanical design, and ESS testing.
• Familiarity with various hardware communication protocols.
• Experience with HASS & ESS-related testing (Thermal, Vibration, etc.)

ABOUT THE JOB

Intelligence Systems is focused on positioning Anduril as a lead provider of specialized engineering and products for Intelligence Community (IC) customers. We work within the IC to understand their requirements, shape their concepts of operation, and deliver exquisite capability across their problem set. We aim to develop and deploy critically needed capabilities that address our customers’ most pressing national security requirements. As the Manager of Manufacturing Test Engineering, your role encompasses the strategic oversight and tactical management of production systems to support high-volume products across the portfolio. You are charged with ensuring rigorous testing protocols are in place, resulting in the consistent delivery of superior quality products to our customers. Furthermore, your leadership guarantees the fulfillment of manufacturing's test throughput requirements. This position demands an innovative approach to resolving complex testing challenges, advancing scalability, and enhancing our automation, throughput, user interfaces, and data analytics methodologies.

WHAT YOU’LL DO

• Direct the manufacturing test engineering team, set objectives, guide initiatives, and assess team outcomes.
• Architect and oversee the manufacturing test strategy for each product to ensure scalable operations across Anduril, transitioning from pre-production to full-scale output.
• Strategize and implement advancements in manufacturing testing, focusing on automation, uniformity, and operational streamlining.
• Evaluate test data, compile findings, and identify opportunities for product and process enhancements.
• Communicate strategic visions to key stakeholders, guiding the scaling of platforms from pre-production (LRIP) through to mass production (FRP).
• Collaborate with product development for design testability, ensuring seamless production integration.
• Lead the procurement and implementation of new test equipment, performing cost-benefit and ROI analyses as needed.
• Champion initiatives that enhance safety, reduce costs, improve quality, and increase productivity through testing.
• Cultivate a culture focused on innovation, collaboration, and accountability in the engineering department.
• Act as the go-to technical authority for manufacturing test matters, advising on and troubleshooting complex issues.
• Design proactive maintenance and calibration protocols for manufacturing test equipment.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Electrical/Electronics, Computer, Mechanical Engineering, or a related field.
• Minimum of 5 years as a people manager leading manufacturing test engineering or relevant adjacent fields.
• Expertise in Linux, C#, Python, and NixOS.
• Solid experience with PCBA/electronic assembly testing and knowledge of testing standards.
• Proficiency in using electronic test equipment.
• Strong analytical skills for root cause analysis of non-conforming hardware.
• Familiar with Product Life Cycle (PLM) systems, Manufacturing Execution Systems (MES), and Test Execution Systems (TES)
• Experience in managing projects that integrate electrical, mechanical, and software/firmware systems.
• Active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Advanced degree in a relevant engineering discipline.
• Demonstrated ability to lead the development of manufacturing test systems and teams.
• Proficiency in LabVIEW, MATLAB, and test automation.
• Knowledge of PCBA design, mechanical design, and ESS testing.
• Familiarity with various hardware communication protocols.
• Experience with HASS & ESS-related testing (Thermal, Vibration, etc.)

As the Head of Manufacturing Test Engineering, your role encompasses the strategic oversight and tactical management of production systems to support high-volume products at Arsenal. You are charged with ensuring rigorous testing protocols are in place, resulting in the consistent delivery of superior quality products to our customers. Furthermore, your leadership guarantees the fulfillment of manufacturing's test throughput requirements. This position demands an innovative approach to resolving complex testing challenges, advancing scalability, and enhancing our automation, throughput, user interfaces, and data analytics methodologies.

WHAT YOU’LL DO

• Direct the manufacturing test engineering team, set objectives, guide initiatives, and assess team outcomes.
• Architect and oversee the manufacturing test strategy to ensure scalable operations across Anduril, transitioning from pre-production to full-scale output.
• Strategize and implement advancements in manufacturing testing, focusing on automation, uniformity, and operational streamlining.
• Evaluate test data, compile findings, and identify opportunities for product and process enhancements.
• Establish a robust test infrastructure capable of evaluating diverse hardware scales and complexities.
• Communicate strategic visions to key stakeholders, guiding the scaling of platforms from pre-production (LRIP) through to mass production (FRP).
• Collaborate with product development for design testability, ensuring seamless production integration.
• Lead the procurement and implementation of new test equipment, performing cost-benefit and ROI analyses as needed.
• Champion initiatives that enhance safety, reduce costs, improve quality, and increase productivity through testing.
• Develop test protocols within our digital tool stack and provide comprehensive training to technicians and engineers.
• Determine data collection needs and develop architecture for actionable reporting of data.
• Administer testing budgets and predict resource requirements for personnel, equipment, and materials.
• Implement comprehensive training and documentation to elevate team expertise and support knowledge transfer.
• Cultivate a culture focused on innovation, collaboration, and accountability in the engineering department.
• Act as the go-to technical authority for manufacturing test matters, advising on and troubleshooting complex issues.
• Design proactive maintenance and calibration protocols for manufacturing test equipment.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Electrical/Electronics, Computer, Mechanical Engineering, or a related field.
• Minimum of 5 years of relevant industry experience leading manufacturing test engineering.
• Expertise in Linux, C#, Python, and NixOS.
• Solid experience with PCBA/electronic assembly testing and knowledge of testing standards.
• Proficiency in using electronic test equipment.
• Strong analytical skills for root cause analysis of non-conforming hardware.
• Familiar with Product Life Cycle (PLM) systems, Manufacturing Execution Systems (MES), and Test Execution Systems (TES)
• Experience in managing projects that integrate electrical, mechanical, and software/firmware systems.
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Advanced degree in a relevant engineering discipline.
• Demonstrated ability to lead the development of manufacturing test systems and teams.
• Proficiency in LabVIEW, MATLAB, and test automation.
• Knowledge of PCBA design, mechanical design, and ESS testing.
• Familiarity with various hardware communication protocols.
• Experience with HASS & ESS-related testing (Thermal, Vibration, etc.)
• Currently possesses and is able to maintain an active U.S. Secret security clearance

ABOUT THE JOB

As the Manager of Manufacturing Test Software Engineering, your role encompasses the strategic oversight and tactical management of production systems to support high-volume products across the Anduril portfolio. You are charged with ensuring rigorous testing protocols are in place, resulting in the consistent delivery of superior quality products to our customers. Furthermore, your leadership guarantees the fulfillment of manufacturing's test throughput requirements. This position demands an innovative approach to resolving complex testing challenges, advancing scalability, and enhancing our automation, throughput, user interfaces, and data analytics methodologies.

WHAT YOU’LL DO

• Direct the manufacturing software test engineering team, set objectives, guide initiatives, and assess team outcomes.
• Architect and oversee the manufacturing software test strategy for each product to ensure scalable operations across Anduril, transitioning from pre-production to full-scale output.
• Strategize and implement advancements in manufacturing testing, focusing on automation, uniformity, and operational streamlining.
• Evaluate test data, compile findings, and identify opportunities for product and process enhancements.
• Communicate strategic visions to key stakeholders, guiding the scaling of platforms from pre-production (LRIP) through to mass production (FRP).
• Collaborate with product development for design testability, ensuring seamless production integration.
• Lead the procurement and implementation of new test equipment, performing cost-benefit and ROI analyses as needed.
• Champion initiatives that enhance safety, reduce costs, improve quality, and increase productivity through testing.
• Cultivate a culture focused on innovation, collaboration, and accountability in the engineering department.
• Act as the go-to technical authority for manufacturing test matters, advising on and troubleshooting complex issues.
• Design proactive maintenance and calibration protocols for manufacturing test equipment.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Electrical/Electronics, Computer, Mechanical Engineering, or a related field.
• Minimum of 5 years of relevant industry experience leading manufacturing test engineering.
• Expertise in Linux, C#, Python, and NixOS.
• Solid experience with PCBA/electronic assembly testing and knowledge of testing standards.
• Proficiency in using electronic test equipment.
• Strong analytical skills for root cause analysis of non-conforming hardware.
• Familiar with Product Life Cycle (PLM) systems, Manufacturing Execution Systems (MES), and Test Execution Systems (TES)
• Experience in managing projects that integrate electrical, mechanical, and software/firmware systems.
• Active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Advanced degree in a relevant engineering discipline.
• Demonstrated ability to lead the development of manufacturing test systems and teams.
• Proficiency in LabVIEW, MATLAB, and test automation.
• Knowledge of PCBA design, mechanical design, and ESS testing.
• Familiarity with various hardware communication protocols.
• Experience with HASS & ESS-related testing (Thermal, Vibration, etc.)

About the Positions 

We’re seeking Project Controls Analysts (Cost and Data Visualization) at multiple levels to support large, heavy-civil infrastructure programs, including highways, roads, bridges, transit (rail and bus), aviation (international airports), and water projects delivered through both traditional and alternative methods. 

These roles sit at the intersection of project controls and modern data analytics. Depending on level and experience, responsibilities may span cost control, financial tracking, and schedule awareness, combined with advanced data structuring and visualization capabilities. Across all levels, the focus is not just on building dashboards, but on working within active programs to help teams understand what the data is actually telling them and where performance is trending. 

Team members support cost and financial oversight across publicly funded programs (USDOT, FAA, FTA, and state DOTs), contributing across the full reporting lifecycle. This may include partnering with stakeholders to define reporting requirements, integrating and validating data from multiple systems, structuring datasets, and developing dashboards and reports that support project execution, program controls, and executive decision-making. 

At Luster, these are not passive reporting roles. Depending on level, individuals play a key part in shaping how project data is organized, governed, and communicated across complex, multi-stakeholder environments. The expectation across the team is an understanding of both the data and the project context behind it, with the ability to bridge the gap between technical outputs and real-world delivery. 

This posting is for future roles and not for a specific opportunity that is available right now. We accept applications and conduct interviews in advance of upcoming hiring needs. When a candidate is selected, their profile is activated in our talent pool for this specialty area. We notify our talent pool candidates first whenever we have a project need. 

Responsibilities may include, but are not limited to, the following:  

Project Controls and Program Analytics 

• Develop dashboards and reports that support cost, schedule, forecast, progress, change, and performance analysis. 
• Create reporting solutions for project teams, program leadership, and executive stakeholders. 
• Support analytics related to: budget versus actuals; forecast trends; cost and schedule variance; cash flow and commitments; change management; portfolio and program performance; risk and exposure indicators. 
• Help translate project controls data into practical, decision-ready outputs. 

Cost Control and Financial Oversight 

• Monitor actual costs vs. budget and analyze variances across multiple funding sources. 
• Implement cost control procedures in compliance with federal and state regulations. 
• Prepare cost reports and documentation required by agencies such as the Federal Transit Administration (FTA), Federal Aviation Administration (FAA), and State DOTs. 
• Collaborate with scheduling, procurement, and engineering teams to align cost data with project milestones. 
• Support earned value management (EVM) and integrate cost and schedule performance metrics. 
• Identify cost-related risks and support mitigation planning. 
• Evaluate cost impacts of change orders and scope modifications. 
• Interface with government clients, contractors, and internal teams to ensure transparency and accountability. 
• Participate in audits, reviews, and funding agency meetings. 
• Support reporting deliverables across multiple funding and delivery structures, including traditional and alternative methods. 

Data Integration and Management 

• Extract, organize, and validate data from client and internal systems, including PMIS platforms, ERP systems, scheduling systems, and operational/financial source systems. 
• Support the design and maintenance of data pipelines using SQL, APIs, and Python-based workflows. 
• Prepare data for reporting through cleansing, transformation, and modeling. 
• Contribute to scalable data structures that support repeatable reporting and analytics delivery. 

Dashboard and Report Development 

• Design and build user-friendly dashboards, reports, and visual analytics primarily in Power BI. 
• Develop views tailored to different audiences, including executive, management, and operational users. 
• Use wireframes and prototypes to align reporting design with stakeholder needs. 
• Incorporate best practices in layout, usability, filtering, navigation, and documentation. 
• Support paginated and presentation-ready reporting where required. 

Stakeholder Collaboration 

• Gather and document business requirements from internal teams and external clients. 
• Facilitate conversations that clarify reporting goals, success criteria, and data availability. 
• Present reporting concepts, draft dashboards, and iterative updates for stakeholder review. 
• Provide clear communication to both technical and non-technical audiences. 
• Support user adoption through training, reference materials, and report documentation. 

Continuous Improvement and Innovation 

• Identify opportunities to improve reporting quality, efficiency, and business value. 
• Recommend more effective ways to structure, visualize, and interpret data. 
• Support innovative uses of modern analytics, automation, and AI-enabled workflows where appropriate. 
• Contribute to Luster’s evolving internal and client-facing analytics capabilities. 

Attributes 

• Excellent written and verbal communication and interpersonal skills. 
• Ability to work effectively with cross-functional teams and communicate with a range of stakeholder groups. 
• Meticulous analyst who spots anomalies quickly and communicates them clearly. 
• Comfortable navigating large datasets, cost-control platforms, and Excel pivot tables. 
• Strong attention to detail and commitment to data quality. 
• Excellent multitasking and organizational skills. 
• Collaborative mindset that fosters teamwork, trust, and positive relationships. 
• Natural curiosity, problem-solving abilities, and a passion for continuous improvement. 

Minimum Qualifications 

• Bachelor’s degree in engineering, construction management, finance, business, data analytics, information systems, statistics, computer science, or a related field, or equivalent combination of education and experience.   
• 5+ years of relevant experience in project controls, cost engineering, business intelligence, data analytics, and/or program or portfolio reporting. 
• Familiarity with project controls concepts such as cost, schedule, forecasting, and performance reporting.  
• Experience developing dashboards and reports (preferably using Power BI). 
• Experience using Python for data transformation, automation, scripting, or API integration. 
• Proficiency with Microsoft Power BI, Oracle Cloud Analytics, or other dashboard KPI reporting software.  
• Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Teams, Word, PowerPoint, etc.). 

Preferred Qualifications 

• Master’s degree in engineering, construction management, finance, business, data analytics, information systems, statistics, or computer science.
  
• Experience supporting infrastructure, transportation, aviation, construction, engineering, or capital program environments. 
• Familiarity with tools and platforms such as Primavera P6, Oracle Primavera Cloud, Unifier, Kahua, Procore, e-Builder, Microsoft Fabric, and BI Publisher. 
• Experience integrating data from ERP, PMIS, and scheduling platforms. 
• Knowledge of dimensional modeling, semantic models, data warehouses, or lakehouse concepts. 
• Experience building executive-level reporting for portfolio or program leadership. 
• Familiarity with risk analytics, forecasting analytics, or statistical reporting methods. 
• Experience working within client-controlled or regulated technology environments. 
• Willingness to learn and grow in a fast-paced, innovative team environment, including developing proficiency in financial modeling and reporting and using cost/schedule management tools (e.g., Primavera P6, Deltek, and SAP). 

Compensation Details 

Expected Salary: $89k-$140k/year ($43-$67/hour). Luster provides the salary range that the company in good faith believes it might offer for this position based on the successful candidate’s level of experience, knowledge, skills, abilities, education, certifications, licenses, geographic location, etc. Luster reserves the right to ultimately pay more or less than the posted range depending on circumstances not related to any status protected by local, state, and/or federal law.

Just LOOK at the Benefits We Offer! 

• Unlimited flexible time off  
• Paid holidays  
• Paid parental leave  
• Health, dental, and vision insurance  
• Flexible spending accounts (healthcare and dependent or elder care)  
• Long-term disability insurance  
• Short-term disability insurance  
• Life insurance and accidental death and dismemberment 
• 401(k) plan with guaranteed employer contribution  
• Formal career planning and development program  
• $2,500 annually toward professional development  
• Wellness program with monthly wellness stipend  
• Company cell phone or cell phone plan reimbursement  
• Free personalized meal planning and nutrition support with a registered dietitian  
• Free personal financial planning services  
• Employee assistance program  
• Employee discounts  
• Employee referral bonus 

Specific plan details and coverage for each benefit noted above will be provided upon offer. 

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

About the Team: Mission Engineering at CHAOS turns simulation output into decisions. We run large-scale modeling and simulation campaigns across all warfighting domains and the full kill chain, against named threats, in operationally relevant scenarios, at the speed engineering, operational, and customer teams actually need. Every CHAOS engineering trade, pursuit, and customer engagement is anchored in rigorous, physics-based, tactically relevant, and statistically valid analysis, and we're scaling the function to meet that bar across a growing product portfolio.

About the Role: On the Mission Engineering team at CHAOS, you will design, develop, execute, analyze, and validate models and simulations to deliver operational analysis and system performance assessment across defense, national security, and commercial programs. You will have freedom to move rapidly and use your expertise to apply rigorous statistical methods to analyze simulation outcomes, quantify system effectiveness, and communicate actionable insights to technical teams, leadership, and customers. Your work will directly inform critical decisions around sensor performance, mission planning, weapon effectiveness, and platform capability evaluation.

This is a foundational hire. You will shape how CHAOS does mission analysis from day one, and you will have the freedom to move fast.

What You'll Do:

• Scope, plan, and execute modeling and simulation efforts and studies aligned to program objectives, managing your competing priorities and timelines effectively.
• Develop, configure, and execute analysis using mission-level models and simulations such as AFSIM, ESAMS, Brawler, Ansys STK, and/or physics-based models to evaluate system and platform performance in operationally relevant scenarios.
• Build and refine models of sensors, communications systems, aircraft (including unmanned), weapons, and spacecraft within mission-level simulation frameworks.
• Architect, implement, and validate models of both blue and red systems, sensors, communications, weapons, aircraft, spacecraft, and ground/maritime platforms, within mission- and engagement-level simulation frameworks.
• Define and apply rigorous statistical methodologies to simulation results to quantify measures of effectiveness and performance to produce relevant and defensible findings for internal and external stakeholders.
• Develop and maintain Python-based analysis tools and pipelines for data processing, statistical analysis, and visualization.
• Implement technical methodology, simulation best practices, and customer engagement.
• Document methodology, assumptions, and findings in technical reports and briefing materials, including data visualizations, and present results to both technical and non-technical audiences.
• Partner with engineering, product, growth, and customer teams to translate operational questions into well-structured analytical approaches and shape new business pursuits. Push back when the framing is wrong.

Minimum Requirements:

• Bachelor's degree or higher in Computer Science, Aerospace/Software/Computer Engineering, Data Science, Statistics, Mathematics, Operations Research, Physics, or a related field.
• 5+ years of experience supporting defense, intelligence, or advanced technology programs through industry or government employment.
• Demonstrated track record leading mission-level operations analysis studies and delivering decision-quality results to senior engineering and customer stakeholders.
• Extensive direct experience with combat simulations such as AFSIM, ESAMS, Brawler, Ansys STK, or equivalent, including ownership of rigorous methodology, not just execution.
• Significant experience developing analytical tools and applying rigorous statistical methods to interpret and present results.
• Strong proficiency in Python and MATLAB, including standard scientific computing libraries (such as Pandas, Polars, NumPy, SciPy, Scikit-Learn, Matplotlib, Seaborn, CuPy, or PyTorch).
• Exceptional data visualization skills and comfort developing CONOPS/OV-1 visuals and briefing packages.
• Proficiency with software development practices including version control and leveraging/validating outputs of AI-assisted coding tools.
• Demonstrated ability to lead analytical efforts and deliver products with minimal oversight, including leading projects and studies.
• Comfortable working on Linux-based systems and writing scalable scripts and software.
• Exceptional written and verbal communication skills, including experience briefing flag/general officer or SES-level audiences.
• Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance 

Preferred Requirements:

• Active TS/SCI clearance.
• Recognized expertise analyzing the full kill chain (find, fix, track, target, engage, assess) across multiple domains, including air-to-air, air-to-surface, surface-to-air, space, and electronic warfare engagements.
• Deep expertise in sensor performance analysis (especially radar) and in developing and validating models of sensors, communications, weapons, aircraft, spacecraft, or ground/maritime systems in mission-level simulation environments such as AFSIM or Ansys STK.
• Experience leading study teams or technical working groups across organizations, including model accreditation, V&V efforts, or threat-informed scenario development.
• Experience designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns supporting system effectiveness or kill chain assessment.
• Exposure to Distributed Interactive Simulation (DIS) networking and visualization tools such as MAK VR-Forces, SIMDIS, or similar.
• Experience supporting rapid development programs across DoD services, DARPA, ONR, AFRL, COCOMs, the acquisition community, or commercial advanced technology programs.
• Experience supporting capture and positioning activities (RFI/RFP responses, white papers, technical exchanges) and shaping new business pursuits.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

The Company:

Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact.

Your Role:

As Staff Engineer, AI & Business Operations, you will be responsible for building an enterprise-grade AI Agent platform that elevates large model capabilities from an “information generation tool” to “executable business productivity,” driving AI to play a deep role in the company’s core business processes and operational decision-making. You will lead the design and implementation of an enterprise-level Agent system similar to OpenClaw, connecting AI models, enterprise data, and business systems to deliver an end-to-end closed loop: task understanding → data retrieval → decision generation → automated execution. The platform will serve sales and commercial systems and gradually expand to enterprise operations and management scenarios.

Key Responsibilities:

• AI Agent Platform Development: Design and implement an enterprise-grade AI Agent platform (Agent Runtime) supporting task understanding, planning, multi-step execution, and state management (memory). Build a unified Tools Layer that encapsulates enterprise APIs, data services, and operational capabilities, enabling Agents to securely invoke CRM, ERP, data platforms, and other systems. Design multi-Agent and multi-step collaboration mechanisms to support automated execution of complex business workflows.
• Workflow Automation & Orchestration: Based on OpenClaw or similar frameworks, build cross-system task orchestration capabilities to achieve a closed loop from AI-driven insights to business execution. Design secure and controllable execution mechanisms including approval nodes, human-in-the-loop collaboration, and rollback strategies. Drive AI automation in business processes such as customer follow-up, task generation, data updates, and process triggering.
• AI Enablement for Sales & Commercial Systems: Build AI Copilot and Agent capabilities to support sales operations, lead management, and customer engagement. Integrate with CRM, CPQ, order management, and customer service systems to achieve deep fusion of AI and business processes.
• AI Enablement for Enterprise Strategy & Operations: Collaborate with management and operational teams to identify AI application scenarios in revenue growth, conversion optimization, customer operations, cost control, and risk management. Build a Decision Copilot for leadership to support data-driven decision-making. Connect data platforms and AI systems to enable the flow: Data → Insights → Decisions → Execution (via Agent automation). Establish a quantitative evaluation system linking AI outcomes to business KPIs such as revenue, conversion rates, and efficiency gains.
• RAG & Enterprise Knowledge System: Build an enterprise-grade Retrieval-Augmented Generation (RAG) system integrating knowledge bases, business data, and real-time information. Support permission-aware retrieval, citation tracing, result explanation, and temporal sensitivity controls. Optimize embeddings, indexing strategies, reranking, and caching mechanisms to improve accuracy and performance.
• Security, Governance & Production Systems: Design security and governance mechanisms for AI systems, including execution tiering (read-only / low-risk / high-risk operations). Build a comprehensive audit and compliance framework to make AI behavior traceable and explainable. Establish a production-grade evaluation system (offline + online), A/B testing, and continuous optimization processes.
• Observability & Platform Engineering: Build AI system observability capabilities including logging, tracing, and metrics. Monitor model calls, tool execution paths, latency, and costs. Drive platform engineering efforts to standardize and scale AI capabilities across the organization.
• Technical Leadership: As a Staff Engineer, lead system architecture design and key technical decisions. Drive AI capabilities from PoC to organization-wide scaled deployment. Guide engineering teams on best practices in Agent development, automation, and AI applications. Bridge technology and business to advance the AI strategy.

Basic Qualifications:

• Education: Bachelor’s degree or above in Computer Science or a related field.
• Experience: 7+ years of software engineering experience, including 2–3 years of experience with AI/LLM/Agent systems.
• Backend Engineering: Strong backend engineering skills with proficiency in Python (core), or Java / Node.js.
• Agent Development: Hands-on experience building AI Agent / automated execution systems (tool calling, multi-step tasks, workflows).
• Retrieval & Search: Familiarity with RAG, vector databases, retrieval, and reranking mechanisms.
• Systems Integration: Experience with API design, system integration, and distributed architecture.
• Cloud Native: Cloud-native experience with AWS/GCP, Docker, and Kubernetes.
• Security: Familiarity with OAuth2/OIDC, access control, and security-by-design principles.
• Business Acumen: Ability to translate business problems into AI solutions.
• Collaboration: Strong cross-functional communication and influence skills.

Preferred Qualifications:

1. OpenClaw Experience: Experience with OpenClaw or similar Agent / automated execution frameworks.
2. Enterprise AI Platform: Experience building enterprise-grade AI platforms or internal tooling platforms.
3. Business Systems: Experience with CRM, ERP, RevOps, or commercial systems.
4. AI + Data Platform: Experience combining AI with data platforms or BI systems.
5. Multi-Agent Orchestration: Familiarity with multi-Agent collaboration and complex workflow orchestration.
6. Business Impact: Proven track record of using AI to drive measurable improvements in business KPIs.
7. Enterprise AI Transformation: Experience leading enterprise AI transformation or scaling AI deployments.
8. IT / Infrastructure Automation: Experience with IT / infrastructure automation (API / SSH / network devices).

Salary Range:

($130K-$150K DOE) plus benefits and incentive plans

 Perks + Benefits

• Healthcare + dental + vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

About the Team: Mission Engineering at CHAOS turns simulation output into decisions. We run large-scale modeling and simulation campaigns across all warfighting domains and the full kill chain, against named threats, in operationally relevant scenarios, at the speed engineering, operational, and customer teams actually need. Every CHAOS engineering trade, pursuit, and customer engagement is anchored in rigorous, physics-based, tactically relevant, and statistically valid analysis, and we're scaling the function to meet that bar across a growing product portfolio.

About the Role: You will own statistical methodology for the Mission Engineering team at CHAOS. You'll design experimental constructs that extract meaningful signals from broad trade studies and computationally expensive simulation runs, build the analytical pipelines the team relies on, push the methodological state of the art on how we characterize uncertainty, build surrogate models, and communicate quantitative results to decision-makers. You will work shoulder-to-shoulder with engineers and experts in every domain to ensure that simulated, experimental, and tactical results presented by CHAOS are rigorous, reproducible, and actually deliver answers that our teams, customers, and partners need

This is a foundational hire. You will have the freedom to move fast and set the standards for how CHAOS does quantitative analysis from day one.

What You'll Do:

• Design rigorous experimental constructs (DOE, space-filling designs, adaptive sampling, sequential experimentation) for large-scale simulation campaigns, getting maximum signal per simulation hour across operationally relevant trade spaces.
• Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to produce decision-quality conclusions.
• Build and own scalable Python-based data pipelines for ingestion, processing, statistical analysis, and visualization of large simulation datasets.
• Develop ML and statistical surrogate models that accelerate analysis, enable real-time trade studies, and feed mission planning applications.
• Set team standards for data management, reproducibility, and statistical rigor (such as code review, methodology validation, and documentation practices).
• Translate operational and engineering questions into well-structured analytical approaches alongside M&S engineers, threat SMEs, and program staff. Push back when the framing is wrong.
• Author technical reports and briefing materials with clear, honest data visualizations; present quantitative results to senior technical and non-technical audiences in language they can act on.
• Mentor peers and cross-functional teams on experimental design, statistical methodology, and reproducible analysis.
• Support programs spanning DoD services, DARPA, intelligence community, and commercial customers.

Required Qualifications:

• Bachelor's degree or higher in Statistics, Data Science, Mathematics, Artificial Intelligence, a related quantitative field, or equivalent demonstrated expertise in modern statistical methodology.
• 7+ years applying advanced statistical and data science methods, ideally supporting defense, intelligence, or advanced technology programs.
• Deep working expertise in experimental design, regression and Bayesian methods, uncertainty quantification, and surrogate modeling, not just textbook familiarity.
• Strong proficiency working in Python, including scientific computing and ML libraries (especially Pandas, Polars, NumPy, SciPy, Scikit-Learn, Statsmodels, PyMC, Matplotlib, Seaborn, CuPy, PyTorch), and exposure to MATLAB or R.
• Demonstrated experience building scalable analytical pipelines for large datasets, including comfort with terabyte-scale data and modern dataframe tooling.
• Exceptional data visualization skills and the ability to develop briefing-quality technical products.
• Strong software development practices: version control, code review, reproducible workflows, and informed use of AI-assisted coding tools.
• Track record of working independently, taking ownership of ambiguous problems, and delivering with minimal oversight.
• Comfortable working with Linux operating systems and writing scalable scripts/software.
• Exceptional written and verbal communication skills, especially in translating quantitative approaches and results for non-technical audiences.
• Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance.

Preferred Qualifications:

• Master's or PhD in Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field.
• Direct experience applying statistical methods to outputs from military simulations including high fidelity engineering models, war games, and engagement or mission-level combat simulations such as AFSIM, ESAMS, Brawler, or Ansys STK.
• Expertise designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns supporting full kill chain or system effectiveness assessment.
• Experience in developing surrogate models, simulations, machine learning, or artificial intelligence models for engineering and operations analysis applications.
• Familiarity with sensor performance analysis (radar, EO/IR, RF, acoustic), weapon effectiveness analysis, or mission-level engagement analysis.
• Experience with HPC environments and distributed computing frameworks (including scalable cloud services and GPU-accelerated computing).
• Leadership experience: mentoring or leading project teams through complex analytical efforts.
• Substantial experience in communicating statistical methods to both technical and non-technical stakeholders and decisionmakers.
• Experience supporting rapid development programs for DoD contractors, combatant commands, research labs, and acquisition communities.
• Active TS/SCI clearance.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

Role Overview

Astera Labs is seeking a Physical Design Engineering Manager to lead a team of physical design engineers at our Toronto site, driving the implementation of connectivity ASICs within our Signal Connectivity Group. This group is responsible for products that enable high-speed serial connectivity including PCIe retimers, Ethernet retimers, and signal conditioning solutions—deployed across the world's largest AI clusters and hyperscale data centers.

As an Physical Design Manager Engineering Manager, you will combine hands-on technical leadership with people management, owning physical design execution from RTL to GDSII while building and mentoring a high-performing team. You will drive floorplanning, place-and-route, timing closure, and sign-off for complex designs requiring deep understanding of high-speed physical layer interfaces and SerDes integration at TSMC advanced nodes. This role is fully on-site at our Toronto location.

Basic Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field; Master's preferred.
• 12+ years of experience in physical design implementation of complex SoCs at advanced nodes (7nm and below).
• 2+ years of experience leading teams or projects with demonstrated ability to mentor and develop engineers.
• Hands-on expertise across the physical design flow: synthesis, place-and-route, CTS, extraction, timing closure, EM-IR, DRC/LVS, and equivalence checking.
• Proficiency with Cadence Innovus and/or Synopsys Fusion Compiler/ICC2 and supporting toolchains.
• Strong scripting ability in Tcl, Python, and/or Perl.
• Professional attitude with the ability to prioritize a dynamic list of tasks, plan and prepare for customer meetings in advance, and work with minimal guidance.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act fast with the customer in mind! 

Required Experience

• Build, lead, and mentor a physical design team, owning Physical Design execution and team development for Signal Connectivity Group products.
• Drive block and top-level physical design implementation from floorplan through tapeout for retimer and signal conditioning ASICs.
• Own floorplanning, macro placement, power grid design, clock tree synthesis, and place-and-route for complex blocks and full-chip designs.
• Drive timing closure at both block and full-chip levels, developing and maintaining timing constraints and signoff methodology.
• Ensure DRC/LVS/EM-IR closure and physical verification sign-off to foundry requirements.
• Integrate hard macros, high-speed SerDes, analog IP, and third-party IP blocks, ensuring seamless physical integration at block boundaries.
• Collaborate with RTL, DFT, STA, EMIR, and verification teams to drive design convergence from synthesis through sign-off.
• Work with IP vendors for both RTL and hard-macro integration, ensuring placement constraints and routing guidelines are met.
• Drive team execution, hiring, career development, and sprint planning for the Toronto PD team.
• Establish physical design best practices, flow improvements, and quality checks to scale execution across multiple concurrent programs.
• Coordinate with global PD teams (San Jose, Irvine, Bangalore) to ensure consistent methodology and design quality.
• Experience with Cadence and/or Synopsys physical design tools/flows.
• Familiarity and working knowledge of SystemVerilog/Verilog.

Preferred Experience

• Deep understanding of high-speed SerDes physical layer, including equalization, CDR, and signal integrity considerations impacting physical design.
• Experience with PCIe, Ethernet, or retimer/signal conditioning ASIC implementation.
• Knowledge of physical layer timing challenges specific to high-speed serial interfaces.
• Hands-on experience with UPF-based multi-voltage/multi-power-domain implementations.
• Familiarity with advanced packaging or multi-die integration and its impact on physical design.
• Experience with ECO methodologies and DFT-aware physical design.
• Knowledge of EMIR-aware implementation techniques and early-stage IR drop mitigation.
• Track record of building and scaling physical design teams through multiple tapeouts.
• Knowledge of agentic AI solutions for EDA automation.

Salary range is CAD $180,000 to $220,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives, and benefits.

What You’ll Do

Lead cutting‑edge research on next‑generation AI system architectures. The role is responsible for end‑to‑end co‑design of AI workloads, system‑level modeling, hardware platforms, and high‑performance processors that leverage Samsung’s advanced memory technologies to eliminate capacity, bandwidth, and large‑scale communication bottlenecks.

Location: Daily onsite presence at our San Jose Headquarters in alignment with our Flexible Work policy

AI System Architecture Leadership

• Define system‑level architectures that solve memory‑capacity, bandwidth, and interconnect challenges for large AI workloads (e.g., large language models, recommendation systems).
• Build and maintain analytical and event‑driven simulation frameworks for compute‑memory‑network performance at rack scale.
• Conduct design‑space exploration and quantitative trade‑off studies (performance, power, cost) to guide architecture decisions.
• Partner with SAIT HQ teams to align modeling insights with real‑world AI system implementations.

RISC‑V CPU Architecture Leadership

• Architect high‑performance, out‑of‑order RISC‑V CPU cores that serve as host processors for AI computing systems.
• Drive IPC‑focused feature path‑finding; lead micro‑architecture research through performance‑model simulation and workload analysis.
• Produce detailed micro‑architecture specifications and guide cache/memory hierarchy design for optimal AI workload execution.

Research & Innovation Management

• Lead a multidisciplinary research team, set technical roadmaps, and ensure delivery of high‑impact publications.
• Present architectural insights and strategic recommendations to senior leadership and external partners.

What You Bring

• Education: Ph.D. in Computer Science, Electrical Engineering, or a related field.
• Experience: 10 + years in system‑level architecture research or large‑scale computing platform design, with a strong focus on AI workloads.
• Technical Expertise:
  • Performance modeling, event‑driven simulation, and quantitative analysis of compute‑memory‑interconnect systems.
  • Deep knowledge of modern CPU/accelerator architectures (RISC‑V, ARM, x86) and heterogeneous integration.
  • Proven ability to design rack‑scale AI system architectures that address memory, bandwidth, and interconnect constraints.
  • Proficiency with transaction‑level modeling (TLM) and event‑driven simulation for compute‑memory‑network co‑design.
  • Experience in large‑scale design‑space exploration and PPA (performance, power, area/cost) trade‑off analysis.
  • Expertise in architecture and micro‑architecture design of out‑of‑order CPUs.
  • Hands‑on experience with simulation tools and programming languages such as Python and C++.
• Communication Skills: Excellent written and verbal communication; proven ability to deliver technical presentations to senior stakeholders. 

Preferred Experience

• Proven track record of publishing high‑impact research papers.
• Experience influencing product roadmaps through architectural recommendations.
• Strong collaborative history with cross‑functional teams (hardware, software, memory technology). 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
  • Innovative and creative, you proactively explore new ideas and adapt quickly to change

#LI-SF1

ABOUT THE JOB

Anduril is building the future of defense technology, and a critical component of this mission is a trusted, unified, and intelligently structured data foundation that fuels aggressive AI-driven innovation. We are seeking an accomplished and passionate Data Product Enablement Specialist to champion the adoption and effective utilization of our enterprise semantic layer. Reporting to the Master Data Management (MDM) team, this pivotal role will act as a critical bridge between business intelligence needs and technical data solutions, actively shaping the semantic layer's development and empowering Anduril's diverse teams, from data scientists and application developers to business analysts, to leverage it for rapid application building, advanced analytics, and AI initiatives.

You will be a key contributor to the MDM Center of Excellence (CoE), working closely with business and technical stakeholders to define the semantic landscape. You will help translate complex technical data structures (PLM, MES, ERP, Foundry, Databricks) into intuitive, business-friendly ontology objects, and then serve as the primary expert and advocate for these models through hands-on workshops, hackathons, office hours, and comprehensive training programs. Your work will directly accelerate AI-driven application development, foster a vibrant culture of data self-service, and ensure that Anduril's data foundation scales to meet our aggressive growth and IPO readiness targets.

WHAT YOU'LL DO

• Contribute to Semantic Layer Design, Data Definition & Governance: Actively participate in the design and definition of the enterprise semantic layer, collaborating with Data Architecture, Data Platform, MDM, and business teams. This includes providing prioritization guidance on the development of the golden record based on business need, advising on semantic model structures, critical attributes on data entities, data relationships, and business logic within Anduril's Ontology. Partner with SMEs to build comprehensive data dictionaries and inventories. As a key member of the MDM CoE, contribute to the development and enforcement of data governance policies and data quality standards, while continuously gathering user feedback and collaborating closely with MDM, Data Platform teams, and relevant platform product teams (e.g., Palantir Foundry) to prioritize and implement semantic layer enhancements.
• Champion Semantic Layer Adoption & Operational Enablement: Lead the charge for semantic layer adoption, acting as the primary advocate and subject matter expert for all user personas. This includes designing and delivering comprehensive enablement programs (workshops, bootcamps, office hours, hackathons, documentation, and learning resources) and managing day-to-day operational workflows like routing complex issues, triaging support questions, and overseeing user access provisioning and security group management in close collaboration with InfoSec and Compliance.
• Create Intuitive Learning Resources & Decentralize Support: Develop and maintain high-quality training materials, documentation, best practices guides, and reusable usage patterns to empower users for self-service data consumption. Identify, cultivate, and equip power users across business domains to serve as local semantic layer champions, accelerating peer-to-peer learning and reducing reliance on centralized support. Build a scalable enablement ecosystem where knowledge compounds organically across teams.
• Consult & Facilitate AI-Driven Solutions: Provide guidance and direct support to data scientists, application developers, and business analysts on how to effectively query, integrate with, and maximize value from the semantic layer. Directly enable development teams by showcasing optimal methods for consuming semantic/gold layer data.
• Translate & Evangelize Strategic Value: Communicate the strategic value and practical benefits of the MDM-fueled semantic layer to diverse audiences, from engineers to executive stakeholders, clearly articulating how it accelerates innovation and ensures data trust, aligning with business objectives and IPO readiness.

REQUIRED QUALIFICATIONS

• Minimum of 6 years of progressive experience in Data Enablement, Data Analytics, Data Architecture, or Data Product roles, with a strong focus on user empowerment and semantic layer design.
• Exceptional ability to operate as a bridge between business and technical teams, translating complex business problems into clear data requirements, semantic model specifications, and data dictionary definitions that directly shape the enterprise golden record and ontology.
• Proven hands-on experience leveraging data platforms for data modeling, governance, and consumption patterns.
• Proven experience with Master Data Management principles and their application in building trusted data foundations, including data quality, governance, stewardship, and data lifecycle management.
• Familiarity with modern data platforms and tools (e.g., SQL, Python, Tableau, data modeling) and their integration points with semantic layers.
• Demonstrated experience designing, developing, and delivering engaging technical training programs, workshops, and hackathons, with a track record of driving adoption and building communities of practice.
• Excellent communication, presentation, and stakeholder management skills, capable of articulating complex data concepts as clear, actionable insights for diverse audiences.
• Understanding of AI/ML concepts and how semantic layers facilitate feature engineering and model development.
• Familiarity with data governance, metadata management, data lineage, and user access management as they pertain to data trust, security, and compliance (e.g., ITAR, CUI).

PREFERRED QUALIFICATIONS

• Experience in highly regulated industries (e.g., defense, aerospace).
• Direct experience integrating semantic layers with LLM agents or Digital Twin platforms.
• Certification in relevant data platforms (e.g., Palantir Foundry, Databricks).
• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

Role Overview:

CHAOS is seeking a highly-skilled and motivated DevSecOps/Platform Engineer to join our team supporting our R&D and product engineering initially focusing on our next-generation Command and Control (C2) and radar products. This is a highly collaborative role which will allow you to work on multiple capabilities within our product offerings. As a member of our engineering team, you also have the opportunity to expand your skillset across our product families.   

Responsibilities: 

• Manage and orchestrate containerized Python package applications using Docker (Swarm and/or Compose) and Kubernetes
• Collaborate with development teams to optimize application deployment and performance
• Implement infrastructure as code (IaC) principles
• Monitor and troubleshoot platform issues, ensuring high availability and performance
• Develop and maintain documentation for our infrastructure and processes
• Contribute to the overall improvement of our DevOps practices
• Work full-time on-site in our office in Los Angeles (Hawthorne), California

Minimum Requirements:

• Bachelor’s or higher Degree in Computer Science, Computer Engineering, or related degree
• 5+ years of proven experience in a DevOps/Platform Engineering role
• Strong understanding of CI/CD principles and practices
• Hands-on experience with Jenkins, Artifactory, and other CI/CD tools
• Proficiency with containerization and technologies (Docker Swarm and/or Compose, Podman) and orchestration platforms (Kubernetes)
• Experience with Azure cloud platform and on-premise infrastructure deployment strategies
• Solid understanding of cloud deployment best practices
• Experience with infrastructure as code (IaC) tools
• Strong background in Linux, containerization and virtualization with a GPU accelerated runtime
• Excellent scripting skills (e.g., Bash, Python, Groovy)
• Understands the software development life cycle and the various related tools such as VCS (Git, SVN), their servers (GitHub, BitBucket), project management (Jira, Confluence, GitHub Projects)
• U.S. Person status is required as this position will require the ability to access U.S.-only data systems 
• Experience creating from scratch infrastructure of CI/CD tools (Jenkins, GitLab CI/CD, Bitbucket Pipelines, Azure DevOps)
• Experience with configuration management tools (Ansible, Puppet, or Chef)
• Knowledge of monitoring and logging systems (e.g., Grafana, ELK stack)
• Experience with database administration
• Familiarity with Agile (Scrum) methodologies

Preferred Requirements:

• Experience with DoD & related System/SW Architectures and messaging standards (e.g. OMS, SOSA, Link-16, etc) 
• Experience designing & implementing tracking and track fusion algorithms
• Development experience in Ground or Airborne Sensors (Radars, EO/IR, EW, etc.)
• Experience with Networks (software and hardware)
• Experience with advanced Time Synchronization technologies beyond NTP
• Experience with git
• Experience with Containers (e.g. Docker, Podman, etc.)
• Familiarity with cloud computing and virtualization technologies (e.g. WSL, KVM, Hyper-V, VMware)
• Experience with Modeling & Simulation, including hardware-in-the-loop and software-in-the-loop testbeds (e.g. DIS, VR-Forces, AFSIM) 
• Experience with production-level SW development & deployment, including DevOps, DevSecOps, and/or Continuous Integration/Continuous Delivery (CI/CD) using modern FOSS/COTS toolsets.
• Experience with full lifecycle SW development of high-TRL systems
• Experience with HW/SW I&T and V&V of high-TRL systems
• Experience with additional languages such as C++, Rust, NodeJS, Java, Go, etc. 
• Current or previous DoD security clearance 

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

Role Overview:

CHAOS is seeking a highly-skilled and motivated DevSecOps/Platform Engineer to join our team supporting our R&D and product engineering initially focusing on our next-generation Command and Control (C2) and radar products. This is a highly collaborative role which will allow you to work on multiple capabilities within our product offerings. As a member of our engineering team, you also have the opportunity to expand your skillset across our product families.   

Responsibilities: 

• Manage and orchestrate containerized Python package applications using Docker (Swarm and/or Compose) and Kubernetes
• Collaborate with development teams to optimize application deployment and performance
• Implement infrastructure as code (IaC) principles
• Monitor and troubleshoot platform issues, ensuring high availability and performance
• Develop and maintain documentation for our infrastructure and processes
• Contribute to the overall improvement of our DevOps practices
• Work full-time on-site in our office in Los Angeles (Hawthorne), California

Minimum Requirements:

• Bachelor’s or higher Degree in Computer Science, Computer Engineering, or related degree
• 5+ years of proven experience in a DevOps/Platform Engineering role
• Strong understanding of CI/CD principles and practices
• Hands-on experience with Jenkins, Artifactory, and other CI/CD tools
• Proficiency with containerization and technologies (Docker Swarm and/or Compose, Podman) and orchestration platforms (Kubernetes)
• Experience with Azure cloud platform and on-premise infrastructure deployment strategies
• Solid understanding of cloud deployment best practices
• Experience with infrastructure as code (IaC) tools
• Strong background in Linux, containerization and virtualization with a GPU accelerated runtime
• Excellent scripting skills (e.g., Bash, Python, Groovy)
• Understands the software development life cycle and the various related tools such as VCS (Git, SVN), their servers (GitHub, BitBucket), project management (Jira, Confluence, GitHub Projects)
• U.S. Person status is required as this position will require the ability to access U.S.-only data systems 
• Experience creating from scratch infrastructure of CI/CD tools (Jenkins, GitLab CI/CD, Bitbucket Pipelines, Azure DevOps)
• Experience with configuration management tools (Ansible, Puppet, or Chef)
• Knowledge of monitoring and logging systems (e.g., Grafana, ELK stack)
• Experience with database administration
• Familiarity with Agile (Scrum) methodologies

Preferred Requirements:

• Experience with DoD & related System/SW Architectures and messaging standards (e.g. OMS, SOSA, Link-16, etc) 
• Experience designing & implementing tracking and track fusion algorithms
• Development experience in Ground or Airborne Sensors (Radars, EO/IR, EW, etc.)
• Experience with Networks (software and hardware)
• Experience with advanced Time Synchronization technologies beyond NTP
• Experience with git
• Experience with Containers (e.g. Docker, Podman, etc.)
• Familiarity with cloud computing and virtualization technologies (e.g. WSL, KVM, Hyper-V, VMware)
• Experience with Modeling & Simulation, including hardware-in-the-loop and software-in-the-loop testbeds (e.g. DIS, VR-Forces, AFSIM) 
• Experience with production-level SW development & deployment, including DevOps, DevSecOps, and/or Continuous Integration/Continuous Delivery (CI/CD) using modern FOSS/COTS toolsets.
• Experience with full lifecycle SW development of high-TRL systems
• Experience with HW/SW I&T and V&V of high-TRL systems
• Experience with additional languages such as C++, Rust, NodeJS, Java, Go, etc. 
• Current or previous DoD security clearance 

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

Role Overview:

CHAOS is seeking a highly-skilled and motivated DevSecOps/Platform Engineer to join our team supporting our R&D and product engineering initially focusing on our next-generation Command and Control (C2) and radar products. This is a highly collaborative role which will allow you to work on multiple capabilities within our product offerings. As a member of our engineering team, you also have the opportunity to expand your skillset across our product families.   

Responsibilities: 

• Manage and orchestrate containerized Python package applications using Docker (Swarm and/or Compose) and Kubernetes
• Collaborate with development teams to optimize application deployment and performance
• Implement infrastructure as code (IaC) principles
• Monitor and troubleshoot platform issues, ensuring high availability and performance
• Develop and maintain documentation for our infrastructure and processes
• Contribute to the overall improvement of our DevOps practices
• Work full-time on-site in our office in Los Angeles (Hawthorne), California

Minimum Requirements:

• Bachelor’s or higher Degree in Computer Science, Computer Engineering, or related degree
• 5+ years of proven experience in a DevOps/Platform Engineering role
• Strong understanding of CI/CD principles and practices
• Hands-on experience with Jenkins, Artifactory, and other CI/CD tools
• Proficiency with containerization and technologies (Docker Swarm and/or Compose, Podman) and orchestration platforms (Kubernetes)
• Experience with Azure cloud platform and on-premise infrastructure deployment strategies
• Solid understanding of cloud deployment best practices
• Experience with infrastructure as code (IaC) tools
• Strong background in Linux, containerization and virtualization with a GPU accelerated runtime
• Excellent scripting skills (e.g., Bash, Python, Groovy)
• Understands the software development life cycle and the various related tools such as VCS (Git, SVN), their servers (GitHub, BitBucket), project management (Jira, Confluence, GitHub Projects)
• U.S. Person status is required as this position will require the ability to access U.S.-only data systems 
• Experience creating from scratch infrastructure of CI/CD tools (Jenkins, GitLab CI/CD, Bitbucket Pipelines, Azure DevOps)
• Experience with configuration management tools (Ansible, Puppet, or Chef)
• Knowledge of monitoring and logging systems (e.g., Grafana, ELK stack)
• Experience with database administration
• Familiarity with Agile (Scrum) methodologies

Preferred Requirements:

• Experience with DoD & related System/SW Architectures and messaging standards (e.g. OMS, SOSA, Link-16, etc) 
• Experience designing & implementing tracking and track fusion algorithms
• Development experience in Ground or Airborne Sensors (Radars, EO/IR, EW, etc.)
• Experience with Networks (software and hardware)
• Experience with advanced Time Synchronization technologies beyond NTP
• Experience with git
• Experience with Containers (e.g. Docker, Podman, etc.)
• Familiarity with cloud computing and virtualization technologies (e.g. WSL, KVM, Hyper-V, VMware)
• Experience with Modeling & Simulation, including hardware-in-the-loop and software-in-the-loop testbeds (e.g. DIS, VR-Forces, AFSIM) 
• Experience with production-level SW development & deployment, including DevOps, DevSecOps, and/or Continuous Integration/Continuous Delivery (CI/CD) using modern FOSS/COTS toolsets.
• Experience with full lifecycle SW development of high-TRL systems
• Experience with HW/SW I&T and V&V of high-TRL systems
• Experience with additional languages such as C++, Rust, NodeJS, Java, Go, etc. 
• Current or previous DoD security clearance 

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

SIE Studio IT is seeking a Lead Systems Engineer to lead the design, operation, and evolution of our production infrastructure and data center platforms. This role provides technical direction for the Systems Administration team and serves as the senior engineering authority for Linux systems, enterprise server hardware, virtualization, storage, and high-availability infrastructure.

Responsibilities

• Lead the design, deployment, and operational support of Linux and Windows platforms in a production environment.

• Architect and support enterprise server hardware, including platform selection, RAID configuration, firmware lifecycle management, hardware diagnostics, and performance troubleshooting.

• Lead the design, deployment, and operation of enterprise and distributed storage platforms, including technologies such as Ceph, NFS-based NAS, and SAN architectures.

• Design and maintain high‑availability and load‑balanced systems, including clustered servers.

• Define and own the monitoring, alerting, and observability strategy for infrastructure platforms including storage, virtualization, servers, and operating systems.

• Partner with vendors and internal teams on hardware selection and lifecycle planning.

• Establish technical standards, patterns, and documentation that can be executed by the Systems Administration team.

• Review designs, changes, and implementations performed by Systems Administrators to ensure quality, consistency, and reliability.

• Act as the technical lead during infrastructure incidents, driving restoration efforts and post-incident review actions.

• Ensure infrastructure designs align with security standards and requirements.

Requirements

• Strong Linux and Windows administration and engineering experience in enterprise or production environments.

• Strong hands-on experience with enterprise server hardware, including troubleshooting, lifecycle planning, and firmware management.

• Strong experience with enterprise storage and distributed storage systems; Ceph experience strongly preferred.

• Strong experience architecting and administering Windows and Linux server platforms in enterprise or production environments.

• Strong understanding of how storage, compute, and virtualization interact in performance‑sensitive production environments.

• Strong scripting and automation skills, preferably Python and/or PowerShell.

• Proficiency with Active Directory, DNS, and DHCP; Infoblox experience is a plus.

• Experience designing or overseeing monitoring, alerting, and observability solutions, including dashboarding platforms such as Grafana or equivalent tools.

• Ability to lead and mentor Systems Administrators.

• 5+ years of relevant enterprise IT experience in a senior or lead infrastructure role.

• Available to work varying hours, on-call shifts, including evenings, weekends, and holidays as required.

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Tracking Software Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for developing 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. You will design and implement multi-target tracking systems using advanced state estimation and data association techniques, develop physics-based models to validate performance, and work closely with software teams to deploy your algorithms into operational systems. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, and experience with modeling and simulation. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints then this role is for you.

WHAT YOU’LL DO

• Perform systems engineering and algorithm development tasks supporting space and missile defense tracking missions
• Design and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Develop and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Implement advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Apply and refine data association techniques, such as: nearest neighbor and probabilistic association; Joint Probabilistic Data Association (JPDA); Multiple Hypothesis Tracking (MHT); and track-to-track fusion methods
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Conduct performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Support the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Prepare technical documentation and briefings for design reviews (SRR, PDR, CDR) and customer engagements

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 5+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Strong theoretical and practical experience with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience working within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V;), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Tracking Software Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will be responsible for developing 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. You will design and implement multi-target tracking systems using advanced state estimation and data association techniques, develop physics-based models to validate performance, and work closely with software teams to deploy your algorithms into operational systems. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, and experience with modeling and simulation. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints then this role is for you.

WHAT YOU’LL DO

• Perform systems engineering and algorithm development tasks supporting space and missile defense tracking missions
• Design and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Develop and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Implement advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Apply and refine data association techniques, such as: nearest neighbor and probabilistic association; Joint Probabilistic Data Association (JPDA); Multiple Hypothesis Tracking (MHT); and track-to-track fusion methods
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Conduct performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Support the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Prepare technical documentation and briefings for design reviews (SRR, PDR, CDR) and customer engagements

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 5+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Strong theoretical and practical experience with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience working within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V;), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Tracking Software Engineer to join our rapidly growing team in Washington DC. In this role, you will lead the development of advanced 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. As a senior member of the team, you will architect and implement sophisticated multi-target tracking systems using cutting-edge state estimation and data association techniques, develop physics-based models to validate performance, and mentor engineers while working closely with software teams to deploy your algorithms into operational systems. You will drive technical decisions, lead design reviews, and serve as a subject matter expert in tracking algorithms. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, experience with modeling and simulation, and demonstrated technical leadership. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints while guiding others to do the same then this role is for you.

WHAT YOU’LL DO

• Lead systems engineering and algorithm development tasks supporting space and missile defense tracking missions, providing technical direction and guidance to team members
• Architect and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Design and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Lead the implementation of advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Drive innovation in data association techniques, exploring novel approaches and optimizations for complex operational scenarios
• Build sophisticated physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Lead performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with and mentor software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Drive the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Lead technical documentation efforts and present at design reviews (SRR, PDR, CDR) and customer engagements
• Mentor engineers in tracking algorithm development, state estimation theory, and best practices
• Serve as a technical subject matter expert for tracking systems, advising program leadership on algorithm performance, risks, and opportunities

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 8+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Demonstrated technical leadership in tracking algorithm development, including leading design efforts, mentoring team members, or serving as a subject matter expert
• Deep theoretical and practical expertise with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Proven experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Expert proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Extensive experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Strong ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems
• Excellent communication skills with experience presenting technical concepts to diverse audiences including engineers, program managers, and customers

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• 10+ years of experience in tracking algorithm development for defense or aerospace applications
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Extensive experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Deep familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience leading efforts within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)
• Experience with advanced tracking techniques such as Random Finite Set (RFS) methods, Probability Hypothesis Density (PHD) filters, or machine learning-enhanced tracking
• Publication record in peer-reviewed journals or conferences related to tracking, state estimation, or sensor fusion
• Experience briefing and interfacing with government customers (DoD, IC, or similar)
• Track record of delivering tracking solutions into operational systems or fielded products