ABOUT THE TEAM

Anduril's Software Engineers excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our software engineers build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Anduril is seeking talented “magicians” to join in our mission to expand the boundary of what’s possible. 

WHAT YOU WILL DO:

• Contribute to the direction of a small team with your expertise and ideas
• Prototype state-of-the-art software solutions in an agile development environment
• Implement high-performance software spanning the spectrum from tactical systems to web applications
• Use high-fidelity modeling and simulation environments, innovative analysis tools, and sound analysis techniques to quantify the benefit of our technology
• Engage with our customers, to ensure successful outcomes for their mission-critical needs
• Work with all aspects of the software development lifecycle
• Help your colleagues and customers understand what you’re doing and why

REQUIRED QUALIFICATIONS

• 8+ years of experience and a Bachelors degree or equivalent education/work experience
• C/C++, Python, and Matlab;
• Big data/NoSQL/database technologies;
• Software engineering: software design, algorithm implementation, and software analysis, testing, and optimization;
• Machine learning: supervised and unsupervised learning, clustering, and classification;
• Applied mathematics: differential equations, linear algebra, optimization, statistics, and random processes;
• Engineering: controls, estimation theory, and digital signal processing.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance

We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.

ABOUT THE TEAM

Anduril's Software Engineers excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our software engineers build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Anduril is seeking talented “magicians” to join in our mission to expand the boundary of what’s possible. 

WHAT YOU WILL DO:

• Contribute to the direction of a small team with your expertise and ideas
• Prototype state-of-the-art software solutions in an agile development environment
• Implement high-performance software spanning the spectrum from tactical systems to web applications
• Use high-fidelity modeling and simulation environments, innovative analysis tools, and sound analysis techniques to quantify the benefit of our technology
• Engage with our customers, to ensure successful outcomes for their mission-critical needs
• Work with all aspects of the software development lifecycle
• Help your colleagues and customers understand what you’re doing and why

REQUIRED QUALIFICATIONS

• C/C++, Python, and Matlab;
• Big data/NoSQL/database technologies;
• Software engineering: software design, algorithm implementation, and software analysis, testing, and optimization;
• Machine learning: supervised and unsupervised learning, clustering, and classification;
• Applied mathematics: differential equations, linear algebra, optimization, statistics, and random processes;
• Engineering: controls, estimation theory, and digital signal processing.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance

We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.

The role

Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical data center environments. As a Senior Delivery Deployment Engineer, you will own the end-to-end delivery, deployment, and production readiness of next-generation GPU platforms inside our data centers. This role sits at the intersection of hardware, Linux systems, and operational execution. You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ensure GB-series infrastructure moves from installation to fully operational production environments with precision and reliability. You will collaborate closely with hardware engineering, networking, and infrastructure teams to deploy and stabilize H200 and B200-based GPU systems at scale.

Your responsibilities will include:

• Lead end-to-end deployment of GB-series racks within data center environments
• Oversee installation, bring-up, validation, and production readiness of NVIDIA H200 and B200-based servers
• Troubleshoot complex hardware, firmware, Linux OS, and networking issues
• Execute structured testing and validation procedures during deployment
• Develop and maintain basic Linux-based hardware health-check and diagnostic scripts
• Coordinate on-site hardware repairs, part replacements, and vendor escalations
• Drive root cause analysis and ensure corrective actions are implemented
• Manage and prioritize deployment timelines across multiple concurrent rollouts
• Provide technical leadership and guidance to on-site engineers and technicians
• Partner with networking and infrastructure teams to ensure seamless integration
• Document deployment processes, validation standards, and operational runbooks

What we expect you to have:

• Strong hands-on experience deploying and operating data center infrastructure
• Deep familiarity with GPU-dense systems, ideally NVIDIA H-series platforms
• Experience working with high-density rack deployments (GB-series or similar)
• Solid Linux experience, including troubleshooting and scripting
• Ability to diagnose issues across hardware, OS, firmware, and network layers
• Experience coordinating field repairs and working directly with hardware vendors
• Proven experience leading technical teams or overseeing field operations
• High ownership mindset and ability to operate in production-critical environments
• Clear communication skills and ability to collaborate across distributed teams

It will be an added bonus if you have:

• Experience deploying AI or HPC clusters at scale
• Familiarity with automated provisioning or infrastructure lifecycle systems
• Background in hardware qualification, burn-in testing, or factory validation
• Experience supporting rapid infrastructure expansion
• Exposure to ARM-based or heterogeneous compute environments

Working conditions:

• Collaboration with globally distributed engineering and operations teams

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families
• 401(k) plan: up to 4% company match with immediate vesting
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
• Remote work reimbursement: up to $85/month for mobile and internet
• Disability & life insurance: company-paid short-term, long-term, and life insurance coverage

Compensation

• We offer competitive salaries, ranging from $125k- $180k base + quarterly performance bonuses.

Join Nebius today and help build the software that powers the next generation ofAI infrastructure.

The role

We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability.

You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments.

Your responsibilities will include

• Leading root cause analysis for complex hardware and firmware failures across production fleets

• Aggregating recurring problems and error patterns to identify systemic reliability issues

• Acting as the senior escalation point for hardware-related incidents impacting availability or performance

• Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions

• Partnering with internal engineering teams to validate fixes and prevent recurrence

• Performing hardware and firmware validation before fleet-wide rollout

• Driving structured incident investigations using established IT problem management methodologies

• Supporting on-site teams with technical coordination during critical hardware events

• Improving hardware observability, failure tracking, and reporting processes

• Contributing to long-term hardware reliability strategy and fleet-wide stability improvements

What we expect you to have

• Strong hands-on expertise with server hardware in data center or large-scale production environments

• Proven experience performing root cause analysis of hardware and firmware failures

• Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes

• Experience working directly with hardware vendors and engineering teams to resolve production issues

• Structured problem-solving skills using formal IT or incident management methodologies

• Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns

• Experience coordinating technical activities with on-site operations teams

• Ability to manage multiple concurrent investigations with production impact

• Clear written and verbal communication skills in cross-functional environments

It will be an added bonus if you have

• Experience in GPU-dense, AI, or high-performance computing environments

• Exposure to firmware lifecycle management and large-scale rollout validation

• Familiarity with Linux-based production systems and infrastructure tooling

• Experience improving fleet-wide hardware reliability metrics at scale

Working conditions

• Remote work within the United States

• Occasional travel may be required for on-site coordination or critical hardware events

• Participation in incident escalations for production-impacting events

Key employee benefits

• Comprehensive medical, dental, and vision coverage

• 401(k) plan with company contribution

• Flexible paid time off

• Paid parental leave

• Professional development support

Compensation

$125,000 – $180,000 per year plus annual performance-based bonus.

Forward Deployed Engineer

Location: Huntsville, Alabama

Work Environment: Hybrid

Role Summary:

Exiger is transforming how governments and global enterprises manage supply chain, defense, and geopolitical risk. Our AI-powered platform equips the world’s most important institutions with the intelligence they need to protect critical infrastructure, secure national interests, and make data-driven operational decisions.

From identifying counterfeit parts in defense supply chains to anticipating geopolitical risk exposure, Exiger enables mission owners to act with clarity and confidence in complex, high-stakes environments.

Forward Deployed AI Engineers work directly with government and defense customers to understand their most complex operational challenges and design and implement AI-driven solutions to solve them.

Our customers rely on Exiger’s platform to support mission-critical operations — often beginning with open-ended questions such as:

• “Where are vulnerabilities hidden in our supply chain?”
• “How can we proactively detect and mitigate risk before it impacts readiness?”
• “How do we modernize fragmented legacy systems into a unified intelligence capability?”

As a Forward Deployed AI Engineer, you will combine engineering depth, AI/ML expertise, and mission understanding to deliver scalable, production-grade solutions that drive measurable real-world impact.

You will operate at the intersection of engineering, data science, and mission delivery — embedded alongside customer stakeholders and internal teams. Working in small, high-trust teams, you will own projects end-to-end — from architecture and data ingestion through model deployment, integration, and executive-level briefings.

You will not just build models — you will ensure they function reliably in production, under real-world operational constraints.

What You'll Do:

• Design, implement, and maintain scalable data pipelines for ingesting, cleansing, and transforming supply chain and risk-related datasets.
• Apply AI/ML methods to enhance predictive analytics, anomaly detection, and risk identification within SCRM workflows.
• Integrate AI-driven analytics into Exiger’s SaaS platform through APIs, data services, and system interfaces.
• Partner with program directors, data scientists, and software engineers to operationalize models into production systems.
• Cleanse and enrich customer provided data.
• Develop and maintain dashboards, data visualizations, and reporting solutions to enable decision-making by senior government stakeholders.
• Ensure quality, integrity, and security of data across all program implementations.
• Support delivery of transformation projects by modernizing customer data environments and enabling advanced risk analytics.
• Contribute to agile delivery cycles, from design and testing through deployment.
• Periodically provide updates on data pipelines, AI performance metrics, and customer value realization.

What You Need:

• Bachelor’s or master’s degree in computer science, Data Engineering, Artificial Intelligence, or related technical field.
• 5+ years of experience in data engineering, applied AI/ML, or scalable system integration
• Demonstrated experience operationalizing AI models beyond experimentation
• Ability to obtain and maintain a U.S. Government security clearance
• Deep proficiency in Python and SQL, with experience designing scalable data architectures
• Experience building and deploying AI/ML systems in production environments
• Familiarity with cloud platforms (AWS, Snowflake, Redshift) and secure system integration
• Ability to translate ambiguous mission problems into structured technical solutions
• Comfort working directly with senior government stakeholders
• Strong systems thinking across data pipelines, APIs, models, and visualization layers
• Ability to operate independently in dynamic, high-stakes environments
• Willingness to travel as needed to support customer engagements

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off
• Industry leading health, vision, and dental benefits
• Competitive compensation package
• 16 weeks of fully paid parental leave
• Flexible, hybrid approach to working from home and in the office where applicable
• Focus on wellness and employee health through stipends and dedicated wellness programming
• Purposeful career development programs with reimbursement provided for educational certifications

#LI-hybrid

Lead Forward Deployed Engineer – Defense Supply Chain Risk Programs

Location: Huntsville, Alabama (Hybrid Position)

Department: Federal Programs

Type: Full-Time

Program Summary

Exiger is seeking a Lead Forward Deployed Engineer to expert guidance, direction, and organize the delivery of solutions and scale delivery of advanced analytics and AI-enabled capabilities supporting Army sustainment and supply chain risk management programs. This role drives the end-to-end execution of data-driven solutions—including AI/LLMs, data pipelines, and risk models—that enhance visibility, resilience, and readiness across the defense industrial base.

The Lead Forward Deployed Engineer will operate at the intersection of program leadership, data engineering, and sustainment operations. The successful candidate will collaborate closely with engineers, data scientists, and Army stakeholders to translate mission requirements into scalable, technically sound analytics workflows that directly inform risk mitigation and acquisition decisions across Army portfolios.

Key Responsibilities

• Lead and manage a team of engineers developing for analytics and AI-driven solutions supporting Army sustainment, acquisition, and supply chain risk management missions.
• Direct the development and deployment of databases, data pipelines, risk models, mitigation strategies, and analytic workflows to identify and mitigate systemic supply chain vulnerabilities.
• Drive program execution by defining technical methodologies, prioritizing development milestones, and managing delivery of mission-ready analytical capabilities.
• Translate complex sustainment and acquisition requirements into actionable tasks for engineering and data science teams.
• Oversee QA/QC for data and model outputs, ensuring results are technically valid, reproducible, and operationally relevant to Army decision-makers.
• Provide technical oversight of analytics integration into sustainment workflows, ensuring compliance with Army policy and information assurance standards.
• Collaborate with cross-functional teams—including engineers, product research analysts, and industrial base experts—to deliver measurable mission impact.
• Facilitate coordination between technical teams, program leadership, and Army stakeholders, ensuring program transparency, accountability, and timely reporting.

Qualifications – Required

• 10+ years of experience in front-end, back-end, or full-stack software development leading data analytics, AI/ML, or risk management programs for federal or defense customers.
• Proven record of managing AI- and data-driven programs supporting defense sustainment, logistics, or acquisition missions.
• Intermediate to advanced proficiency in Python, including hands-on experience with data manipulation, validation, and analytics (e.g., pandas, NumPy, or similar libraries).
• Strong SQL skills, capable of writing and optimizing queries for large, complex datasets.
• Hands-on experience with Snowflake for querying, data validation, and analytics — active Snowflake user strongly preferred.
• Familiarity with data pipelines, ETL processes, and workflow orchestration in support of large-scale analytics environments.
• Demonstrated ability to bridge technical development and mission objectives, ensuring solutions are both feasible and impactful.
• Excellent communication skills with the ability to clearly convey technical concepts to non-technical audiences.
• U.S. Citizenship required.
• Ability to obtain and retain a U.S. Government security clearance.

Qualifications – Preferred

• Prior experience in software development and artificial intelligence.
• Familiarity with supply chain risk management, industrial base analysis, or production sustainment data
• Experience working with AI/LLM development workflows, including prompt engineering, fine-tuning, and model evaluation.
• Proven experience validating analytics outputs and data transformations within cloud data environments.
• Background in or exposure to mechanical, industrial, or systems engineering concepts as they relate to manufacturing feasibility and readiness analysis.

Why Join Exiger?

At Exiger, we are helping the Army strengthen the resilience, transparency, and security of the defense industrial base through next-generation analytics and AI. Our work supports sustainment readiness, acquisition modernization, and national defense priorities—making this a unique opportunity to lead technical programs that have real operational impact.

We’re an amazing place to work. Why?

• Discretionary Time Off for all employees, with no maximum limits on time off.
• Industry-leading health, vision, and dental benefits.
• Competitive compensation package.
• 16 weeks of fully paid parental leave.
• Flexible, hybrid approach to working from home and in the office where applicable.
• Focus on wellness and employee health through stipends and dedicated wellness programming.
• Purposeful career development programs with reimbursement provided for educational certifications.