About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

We're looking for a Principal Software Engineer with deep roots in adtech infrastructure and a genuine conviction about what AI-native engineering looks like in practice. This role is backend-focused at its core — you'll work on the systems that power our exchange, from bid request processing and traffic shaping to data pipelines and auction logic. But we're also at an inflection point in how we build software, and we want this person to help lead us through it.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Java, Kafka (Redpanda), AWS, Databricks, Datadog, ONYX.

What you'll be doing:

• Own the design and evolution of backend systems that operate at exchange scale — high throughput, low latency, always on
• Lead architectural decisions across auction infrastructure, bid processing, traffic shaping, and supply-side integrations
• Establish and champion AI engineering practices across the team — from prompt engineering and RAG patterns to agentic workflow design and LLM evaluation
• Identify high-leverage opportunities to apply AI in our adtech stack: traffic scoring and filtering, bid shading, yield optimization, anomaly detection, and automated decisioning
• Set standards for how we evaluate, trust, and operate AI-powered systems in production — including observability, fallback behavior, and model governance
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance

A successful candidate will have:

• 10+ years of software engineering experience, with a strong backend track record
• 5+ years working specifically in adtech infrastructure — SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Experience building and operating systems at exchange scale — high QPS, strict latency budgets, fault tolerance
• Demonstrated experience leading AI or agentic engineering efforts in production environments — not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Strong distributed systems fundamentals: messaging, caching, service architecture, observability
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn't the right tool — and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Hybrid #LI-Remote

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

We’re looking for a Principal Software Engineer (Data) with deep roots in adtech data infrastructure and a genuine conviction about what AI-native data engineering looks like in practice. This is a specialized principal-level engineering role — one that carries all the architectural ownership and technical leadership expectations of a Principal Software Engineer, focused on Sovrn’s Data Collective.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Python, Pyspark, Kafka, Databricks, AWS

What you'll be doing:

Data Platform & Architecture

• Own the design and evolution of data platform systems that operate at exchange scale; high throughput, real-time streaming, and always-on batch pipelines
• Lead architectural decisions across data infrastructure: pipeline design, data modeling, lakehouse architecture, and data services layers
• Specify data platform components and configurations required for pipeline implementation; define pipeline observability to understand and improve performance at massive scale
• Research, implement, and evolve methods to process and democratize data across the organization
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end

AI & Agentic Engineering Leadership

• Establish and champion AI engineering practices across the team, from prompt engineering and RAG patterns to agentic workflow design, LLM evaluation, and progressive implementation of agentic design patterns
• Identify high-leverage opportunities to apply AI in our data stack: intelligent pipeline optimization, anomaly detection, automated data quality, forecasting, and LLM-powered data services
• Lead the evolution of our existing LLM and agentic tooling from passive use to intentional, well-architected integration within our data platform
• Set standards for how we evaluate, trust, and operate AI-powered systems in production, including observability, fallback behavior, and model governance
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it

Collaboration & Mentorship

• Provide domain expertise across the organization to enable business growth through data services and data models
• Provide counsel to all consumers and stakeholders of data to enable efficient and impactful use of our data assets
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance; foster a culture of innovation and continuous learning
• Operate with high autonomy across ambiguous, high-impact problems

A successful candidate will have:

• 10+ years of software engineering experience, with a strong data engineering and backend track record
• 5+ years working specifically in adtech data infrastructure, SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Excellent understanding of real-time streaming and batch pipelines, big data, and data lakes; hands-on experience in distributed data processing in the AWS ecosystem
• Strong understanding of second-layer big data platforms such as Snowflake and Databricks, applicable use cases, best practices, implementation, and support considerations
• Strong experience in structured, unstructured, and semi-structured data techniques; metadata management, data lineage, and data governance
• Experience with data security and compliance (PII, CCPA, GDPR, etc.)
• Demonstrated experience leading AI or agentic engineering efforts in production environments; not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, vector DBs, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Ability to clearly document and communicate architectural concepts at multiple levels; ability to lead problem definition, solution designs, and implementation work plans
• Understanding of DevOps and SRE practices
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn’t the right too, and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Remote, #LI-Hybrid

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

ABOUT THE TEAM

At Anduril, our Software Engineers specialize in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. Inspired by Arthur C. Clarke’s vision — “Any sufficiently advanced technology is indistinguishable from magic” — we aim to achieve groundbreaking results in target tracking, state estimation, and situational awareness. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology.

WHAT YOU WILL DO:

• Define and influence the direction of a small team, leveraging your subject-matter expertise in target tracking and state estimation.
• Prototype and deploy state-of-the-art algorithms for tracking, multi-sensor data fusion, and state estimation in agile, iterative development environments.
• Develop high-performance software for real-time systems, ranging from tactical implementations to simulation environments and decision support tools.
• Design and implement robust filters, estimators, and probabilistic reasoning systems that enable actionable insights from noisy, ambiguous, or incomplete sensor data.
• Analyze system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate the benefits of our technology.
• Drive customer success by customizing algorithms and software for mission-critical use cases, including real-time tracking and sensor fusion.
• Integrate tracking and estimation technologies into the broader software development lifecycle, from requirements definition through testing and optimization.
• Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues and end-users.

REQUIRED QUALIFICATIONS

• Proficiency in algorithm design, software development, and statistical modeling with programming expertise in C/C++, Python, and Matlab.
• Strong knowledge of target tracking techniques, such as Kalman filters, particle filters, and multi-target tracking algorithms (e.g., JPDA, MHT, or PHD filters).
• Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive estimation techniques.
• Solid understanding of applied mathematics, including linear algebra, optimization, probability, and stochastic processes.
• Knowledge of signal processing techniques for interpreting diverse sensor data (e.g., radar, lidar, EO/IR).
• Familiarity with big data pipelines, NoSQL databases, and the efficient handling of large-scale sensor data.
• Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
• Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.
• Demonstrated ability to work across development lifecycles, from prototyping to optimizing production systems.
• Eligible to obtain and maintain an active U.S. Top Secret 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

• 8+ years of professional software engineering experience
• Bachelor's degree in mathematics, physics, engineering, or other technical field (advanced degree strongly preferred)
• 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.

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

The Anduril Battlespace Awareness Radar team develops state-of-the-art radar systems, deployed to tackle the most significant security challenges of America and its allies. The Radar team is seeking an Electrical Test Engineer to help us test the next generation of US radars. The Radar team is responsible for all aspects of radar system development, from the ideation stage through initial production.  In this role, you will work closely with an interdisciplinary technical team to perform testing and collaborate with design engineers to mature the prototypes into products. 

WHAT YOU’LL DO

• Conduct integration and developmental testing of complex electrical subystems, including high speed digital and RF components.
• Work closely with other electrical, mechanical, software, firmware, and test engineers to deliver fully functional products.
• Conduct environmental testing to ensure the reliability of our radars in various environments.
• Create and update test procedures for validating printed circuit board performance against design targets. Design test automation to streamline this testing where possible.
• Stay current with emerging technologies and industry trends to drive innovation and maintain our technological edge.

REQUIRED QUALIFICATIONS

• Bachelor’s Degree in Electrical Engineering or equivalent, with 3+ years of experience testing and troubleshooting complex board designs.
• Experience with analog and digital electronics testing and troubleshooting.
• Competence with test equipment such as oscilloscopes, logic analyzers, current-probes, and automation of tests.
• Familiarity with standard interfaces such as Ethernet, CAN, I2C, SPI, PCIe, USB, etc..
• Knowledge of modern analog and digital electronics and electronic circuits.
• Comfortable with a variety of electronic CAD tools (Altium preferred, Eagle and others acceptable).
• Experience with test automation scripting (e.g., Python) for data acquisition and control.
• Experience in testing and debugging for signal integrity / power integrity.
• Strong time management and organizational abilities, with a demonstrated ability to deliver projects on time and within budget.
• Excellent problem-solving skills, with the ability to think creatively and adapt to diverse and evolving challenges.
• Eligible to obtain and maintain an active U.S. Secret security clearance (use appropriate one from here - Recruiter to own)

PREFERRED QUALIFICATIONS

• Familiarity with common MCU, CPU, FPGA devices and technologies.
• Experience with RF electronics testing and troubleshooting.
• Experience with RF test equipment such has VNAs, signal analyzers, signal generators, and power meters.
• Experience with environmental testing procedures and standards to pass MIL-STD-810.
• Experience developing test fixtures to support board testing and troubleshooting

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 

The Anduril Battlespace Awareness Radar team develops state-of-the-art radar systems, deployed to tackle the most significant security challenges of America and its allies. The Radar team is seeking an experienced Senior Electrical Engineer to transform ambitious concepts into manufacturable reality for the next generation of US radars. The Radar team is responsible for all aspects of radar system development, from the ideation stage through initial production.  In this role, you will work closely with an interdisciplinary technical team to design high-speed mixed-signal architectures and circuits, manage signal integrity in complex PCBs, and mature prototypes into products.

ABOUT THE JOB 

TO BE UPDATED 

WHAT YOU’LL DO

• Design combinations of high-speed digital, precision analog, RF, and high-power architectures
• Design embedded electronics from concept to functional prototype, including hardware selection, schematic & PCB design, board bring-up, and system level integration
• Troubleshoot issues that span the electrical and software boundaries, with solid skills using both lab equipment (Oscilloscopes, DMM, etc.) and basic software debugging tools
• Work with modern SoCs and networking hardware to build Anduril platforms
• Work closely with firmware/software engineers for processor/peripheral selection, board bring up, and troubleshooting.
• Work closely with other electrical, mechanical, software, firmware, and test engineers to deliver fully functional products
• Work in a fast-paced environment, having to juggle multiple concurrent projects and customers.

REQUIRED QUALIFICATIONS

• Bachelor’s Degree in Electrical Engineering
• 8+ years of experience designing, testing, and troubleshooting complex hardware, embedded systems, and products
• Demonstrated experience with multi-gigabit SERDES, DDR memory busses, Ethernet MAC and PHY interfaces, FPGAs, and common communication busses like SPI and I2C
• Experience with microprocessor and microcontroller selection, configuration, and interfacing
• Experience with component, schematic capture, high speed board design, and guiding PCB layout.
• Competence with test equipment such as oscilloscopes, logic analyzers, debuggers, current-probes, sprectrum/network analyzers, and automation of tests
• Familiarity with product development processes and tools
• Knowledge of embedded software development, including use of timers, interrupts, hardware peripherals such as SPI controllers and ADCs
• Experience with signal integrity and power integrity rules and simulation
• Exceptional organization and communication skills (both written and oral)
• Proficient with Altium Designer or equivalent electronic design tools
• Familiar with common programming languages like Python for test automation.
• Must be eligible to obtain and hold a U.S. Secret Security Clearance

PREFERRED QUALIFICATIONS

• Familiar with RF design and layout
• Past experience with placement and routing of PCBs
• Experience with JESD204 and PCIe
• Familiarity with military standards (MIL-STD-461/704/1275)
• Experience with high speed ADC/DAC's and software defined radios

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.

Platform Infrastructure Engineer, #990

Clearance: U.S. Citizenship is required.  DHS Secret Clearance required. Candidates with dual citizenship cannot be considered per government requirements. 

Dev Technology is seeking a Senior Platform Security Engineer to manage, secure, and optimize mission-critical platforms for a federal client. This role combines deep technical expertise in system performance, cybersecurity, automation, and DevOps methodologies to ensure resilient and compliant infrastructure supporting national security objectives.

What You'll Be Doing:

• Monitor and Optimize: Continuously monitor system performance and implement corrective actions across current platforms.
• Application Integration: Manage and maintain integrations leveraging networking concepts such as TCP/IP, routing, and firewalls.
• Cybersecurity Oversight: Conduct regular vulnerability assessments and penetration testing to identify and remediate risks.
• Incident Response: Develop and maintain security incident response plans and procedures.
• Automation: Create and implement automation scripts and tools to streamline deployments, provisioning, and management tasks.
• Platform Management: Deploy and manage machines using VMware, vCenter, Kickstart, Puppet, Foreman, and CIS-CAT.
• Host Security: Configure and manage host-based security systems.
• DevOps & IaC: Apply DevOps methodologies and support Infrastructure as Code (IaC) within RHEL container environments.
• Monitoring & Logging: Utilize tools such as Prometheus, Grafana, ELK, IBM NetCool, and SolarWinds for system health and performance.
• Patch Management: Patch and maintain systems using Red Hat Satellite Server.
• Hardware Support: Provide hands-on support for servers and workstations.
• Cloud Knowledge (Bonus): Familiarity with AWS and Azure for managing and securing cloud environments is a plus.
• Other Duties: Perform additional tasks as assigned to support mission-critical operations.

Required Education, Experience, and Skills:

• Active Secret clearance required.
• U.S. Citizenship required (dual citizens not eligible due to federal contract requirements).
• Experience with federal government contracts, with a preference for contracts under Homeland Security.
• Minimum 12 years in a related technical field.
• At least 4 years of hands-on experience with OpenShift.
• Expertise in VMware, vCenter, Kickstart, Puppet, Foreman, CIS-CAT.
• Strong knowledge of networking concepts (TCP/IP, routing, firewalls).
• Experience with monitoring tools (Prometheus, Grafana, ELK, IBM NetCool, SolarWinds).
• Proficiency in Red Hat Satellite Server for patch management.
• Familiarity with DevOps practices and IaC within RHEL containers.
• Candidates must reside within a commutable distance for daily onsite work and meet recall/on-call requirements in a 24x7x365 environment.

Preferred Education, Experience, and Skills:    

• Team player and fast learner with the ability to work proactively and independently.
• Strong problem-solving skills to support geographically diverse mission-critical operations.

Our estimated salary range for this position is $116,000-$124,000. This presented salary range is not a guarantee of compensation or salary. Offered salary is based on education, experience, geographic location, and possibly contractual requirements as appropriate to the role. *Salary could fall outside of this range. 

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

ABOUT THE TEAM

Anduril's Air & Missile Defense Radar team develops cutting-edge tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. We're building the next generation of tracking intelligence capabilities—automated analysis systems that understand tracking performance, identify failure modes, and continuously improve our algorithms through data-driven insights.

This role sits at the intersection of ML engineering and tracking domain expertise. You'll build end-to-end pipelines that ingest tracking algorithm telemetry, analyze correlation failures and performance anomalies, train models to automate root cause analysis, and deploy production tools that help engineers ask questions like "why didn't track X and track Y associate?" We don't just track targets; we track our tracking systems and make them smarter.

WHAT YOU'LL DO

• Own tracking intelligence infrastructure end-to-end: Build the platform for ingesting tracking algorithm telemetry (hypotheses, scores, gains, association decisions), feature engineering performance metrics, training analysis models, and deploying them into production
• Automate tracking analysis: Develop ML models that identify correlation failures, track quality degradation, and root causes for tracking anomalies—replacing manual deep-dive investigations with scalable automated insights
• Build autotuning capabilities: Create systems that recognize incoming data characteristics and automatically adjust tracking algorithm parameters, frame rates, and model configurations for optimal performance
• Design human-in-the-loop tools: Build interfaces and query services that let engineers ask natural questions about tracking behavior and get data-driven answers backed by your models
• Exploit tracking telemetry: Instrument C++ tracking algorithms with appropriate logging (working with platform engineers), then marshal that data into consistent formats for analysis and model training
• Deploy in constrained environments: Package and deploy models for air-gapped systems with no external connectivity, following security scanning requirements where ML models are treated as data artifacts
• Manage the ML lifecycle: Handle data catalogs, ground truth labeling, model registries, versioning, and validation—ensuring models improve tracking performance in measurable ways
• Bridge domains: Translate between tracking algorithm fundamentals (Kalman filters, data association, multi-hypothesis tracking) and ML/data science techniques to build solutions that actually work
• Drive make/build decisions: Evaluate when to build custom models vs. leverage existing ML capabilities, selecting appropriate algorithm architectures for tracking intelligence problems
• Work hands-on-keyboard: This is a one-person show initially—you'll architect, code, deploy, and iterate rapidly using modern Python-based ML tooling

REQUIRED QUALIFICATIONS

• 3+ years of experience with a strong mix of ML engineering and data science—you've built models AND deployed them into production systems
• Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Experience with MLOps practices: data pipelines, feature engineering, model versioning, experiment tracking, and deployment workflows
• Familiarity with ML infrastructure tooling (MLflow, Dagster/Airflow, or similar orchestration tools)
• Understanding of tracking, estimation, or filtering algorithms (Kalman filters, data association techniques)—you need to understand what tracking algorithms output and why they make the decisions they do
• Ability to work with streaming time-series data and engineer features from algorithm telemetry
• Experience building data catalogs, managing ground truth labels, and validating model performance
• Strong software engineering fundamentals—you can build maintainable, production-quality code independently
• Comfortable working in C++ environments enough to add instrumentation/logging (no deep algorithm development required)
• Ability to obtain and maintain a U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• Experience deploying ML models in edge, embedded, or air-gapped environments with security constraints
• Background in defense, aerospace, or sensor systems
• Familiarity with containerization (Docker, Kubernetes) for model serving and deployment
• Experience with anomaly detection, root cause analysis, or automated diagnostics systems
• Knowledge of AutoML, hyperparameter tuning, or online learning techniques
• Understanding of radar systems, sensor fusion, or signal processing
• Experience building conversational or query interfaces for technical systems
• Familiarity with model registries and model-as-data artifact management
• Experience with distributed data processing (Spark, Dask) for large-scale telemetry analysis
• Formal coursework or training in MLOps, data science, or estimation theory
• Active U.S. Top Secret SCI clearance

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

GHX is seeking a Senior Software Engineer to work on our Enterprise Integration solutions. The position will report to the Manager, SWE and be responsible for leading development efforts toward the creation, implementation, and support of existing and next-generation software solutions. The Senior Software Engineer will analyze, design, code, and debug enhancements to existing software and/or new products used in on premise and cloud-based applications. They will be a leader in their teams integration with AI and Claude Code.  This role is responsible for interacting with stakeholders to define system requirements and/or necessary modifications in an Agile/Scrum environment.

Principle duties and responsibilities:

• Gathers and writes technical requirements for complex stories, features, and epics.  Authors technical designs.
• Leverages Java to develop Rest API’s..  
• Implements applications in cloud-based infrastructure.
• Identifies best practices and guides other team members in the implementation of best practices.
• Leverages Angular to develop user friendly applications.
• Maintains, modifies, and improves existing applications.
• Recognizes when a broad solution is needed based on trends/root causes and recommends solutions. 
• Contributes to and may lead project document reviews and design/code reviews.
• Ensures adherence to IT Control Policies throughout design, development, and testing.
• Proactively works with cross-functional teams.  Builds and maintains good business relationships that help drive ideas and solutions. 
• Proactively engages team to review ideas, solutions, issues, and/or concerns.
• Applies AGILE concepts and works collaboratively and closely with QA in an Agile/Scrum environment. 
• Trains and mentors new/junior teammates and coordinate the activities within the larger team.

Competencies:

• Proficient with multiple technologies and may have some understanding of architectural principles.
• Identifies, implements, and applies best practices. Is the “go to” person on the team.
• Defines how the work should be done; provides intelligent alternatives to the status quo.  Sells and drives ideas.  Owns issues and can work effectively inside and outside of the team to influence and drive results.
• Ability to handle multiple projects and possesses a proven track record of high-quality deliverables.
• Ability to effectively communicate technical concepts to technical staff and can work effectively with cross-functional departments with varying degrees of technical experience.
• Understands and can explain up and downstream impacts across products, teams, and the organization.
• Constructively challenges the status quo; develops, proposes, and supports the implementation of innovative and creative solutions. Iterates and improves across multiple business domains.
• Displays flexibility in adapting to changing conditions and helps lead others through change.
• Leads by example, promotes a common purpose, and is a catalyst for success.
• Thinks strategically, displays a high degree of emotional maturity, and demonstrates a positive outlook.
• Strong team player, makes a valuable contribution to team objectives, displays trust and mutual understanding, accepts constructive feedback, and handles confrontation constructively.
• Possesses a broad understanding of Agile/LEAN principles and the ability to apply the AGILE methodology.

Required Qualifications:

• Requires a minimum of 8 years of experience in software development.
• BS Degree in Computer Science.
• Experience with leading teams in use of Claude Code
• Prior experience working in an AGILE/SCRUM environment.
• Must be able to work independently and as part of a team on multiple overlapping projects.
• Proven track record of successfully delivering large projects.
• Strong Java developer
• Object Oriented Design and Development skills, including understanding of common design patterns.
• Experience with containerization and container orchestration.
• Experience with AWS cloud infrastructure
• Experience with Angular application development.
• Experience with Restful and/or SOAP web services
• Relation Database & SQL Experience
• Basic understanding of some networking protocols [TCP, HTTP, FTP, SSH, SSL] and interfaces.
• Experience with Linux / UNIX
• Experience with GIT Code management.
• Experience with Build tools – Maven, Gradle

Preferred qualifications:

• Certificate-based authentication, cryptography
• Experience in System integration/ B2B integrations / SCM / MMIS / ERP development or integration is a plus
• Post-graduate degree.
• EDI Experience is a plus
• Experience with AI PLDC integration
• Exposure to UI framework like Angular is a plus
• SSL and java cryptography programming experience
• Load testing using any toolset
• Functional and behavioral testing using any toolset
• Exposure to CICD process using Jenkins/ Hudson, Bamboo or something similar.
• Experience with Spring.
• Familiarity with centralized log management solution
• Data analytics is a plus
• Team player with a good attitude.

Estimated salary range: $128,000 - $152,000

The base salary range represents the anticipated low and high end of the GHX’s salary range for this position. Actual salaries will vary and will be based on various factors, such as candidate’s qualifications, skills, competencies and proficiency for the role. The base salary is one component of GHX’s total compensation package for employees. Other rewards and benefits include: health, vision, and dental insurance, accident and life insurance, 401k matching, paid-time off, and education reimbursement, to name a few. To view more details of our benefits, visit us here: https://www.ghx.com/about/careers/

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a DevOps Engineer supporting operations on site at Fort Carson, Colorado, you are the tactical edge of our engineering team. You aren’t just maintaining a platform; you play a key role in the technical success of a project. You will interface directly with customers to understand their unique constraints—such as restricted networks, hardware limitations, or urgent operational requirements—and tailor our automation and deployment strategies to move the needle for them.

You will be responsible for maintaining the end-to-end life cycle of our AI platform across a diverse architectural landscape—including remotely accessible cloud environments and on-premises hardware. You’ll thrive in this role if you enjoy the challenge of debugging complex Kubernetes clusters where connectivity is a luxury, not a given. You are someone who can navigate the unique constraints of local hardware today and write the automation that ensures seamless, reliable performance across the customer’s hybrid stack tomorrow.

This position offers a hybrid/on-site work environment at our customer sites in Fort Carson, Colorado.

Your day-to-day will include:

• Customer-centric engineering: Partnering directly with users and stakeholders to translate mission requirements into technical solutions, ensuring that Striveworks’ AI capabilities are fully integrated into their existing workflows.
• Tactical deployment and automation: Building and maintaining infrastructure-as-code (IaC) to deploy custom Kubernetes clusters across diverse environments, (e.g., AWS, Azure, GCP, and on-prem).
• Integration and troubleshooting: Acting as the primary technical point of contact for troubleshooting complex integrations, you’ll be deep in the logs, debugging containerized microservices and network and application configurations to unblock the customer.
• Product evolution: Feeding field insights back to our core product teams. You are the eyes and ears of the engineering org, identifying friction points in the installation process and automating them away.
• Mission execution: Leading software deployments on unclassified, CUI, and classified networks, ensuring that our AI remains reliable, adaptable, and ready to scale in dynamic environments.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we are looking for:

• 3–5+ years of hands-on experience in software, DevOps, site reliability, or systems engineering
• Customer-centric technical leadership that combines deep technical expertise with executive presence to lead cross-functional requirement gathering, manage professional incident response across diverse environments, and champion organizational interests to external stakeholders  
• Production Kubernetes: Expertise in deploying and diagnosing microservices within K8s (using Helm and kubectl)
• Observability and monitoring: Experience with comprehensive observability solutions (metrics, logs, and traces) using tools such as Prometheus, Grafana, and OpenTelemetry to ensure system reliability and performance visibility
• Application assurance: Ability to design and execute testing strategies to validate application functionality, diagnose issues, and perform root cause analysis—implementing effective long-term fixes to improve stability and performance
• Infrastructure-as-code: Deep proficiency in Terraform, Ansible, or similar tools to manage virtual machines (VMs) and containerized services
• Programming proficiency: Strong scripting and coding skills in Bash and/or Python for building custom automation and tooling
• Linux mastery: Ability to manage and rapidly troubleshoot Linux systems (RHEL, Ubuntu, Alpine)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We are very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Experience with DOD networking, tools, infrastructure, security requirements, and policies 
• Proficiency with US federal information system security policies, including Security Technical Implementation Guides (STIGs), NIST SP 800-171, NIST SP 800-53, CMMC, and ICD 503
• Experience with software deployments to on-premises and cloud-based unclassified, CUI, and classified networks within the DOD
• Experience with DevSecOps/DevOps and Continuous Integration and Continuous Delivery (CI/CD) for the administration and deployment of GPU-enabled servers
• Experience deploying or maintaining Cloud Native Computing Foundation (CNCF) projects
• Experience with network-attached storage (NAS) and storage area network (SAN) technologies
• Experience with Kubernetes and cloud-native applications and services in denied, disrupted, intermittent, and limited (DDIL) impact environments 

The anticipated base pay range for this position is $140,000 to $165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. 

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Tenstorrent is looking  for a STA methodology engineer who owns timing across advanced-node, high-performance, low-power designs, bringing deep expertise with PrimeTime, noise/crosstalk/OCV analysis, and strong scripting skills. They will lead the development and optimization of end-to-end STA methodologies and flows, drive data- and ML-assisted timing automation, and partner closely with logic, physical design, DFT, and EDA vendors to solve complex timing challenges across multiple IPs and products. 

This role is hybrid, based out of Santa Clara, CA, Austin, TX, or Fort Collins, CO.

We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting

Who you are

• An experienced Static Timing Analysis (STA) / timing methodology engineer with a BS/M in Electrical or Computer Engineering (or equivalent experience) 5+ years in industry, focused on high-performance and low-power designs at advanced technology nodes. As well as a deep knowledge of STA tools and techniques, including noise, crosstalk, and OCV analysis.
• You are fluent with PrimeTime and related signoff tools (e.g., PT-SI, PTPX, PT-ECO) and have extensive hands-on experience driving signoff correlation, advanced static timing analysis, and signoff closure.
• You are strong at debugging timing constraints, resolving timing correlation issues, and developing effective timing closure strategies.
• You write robust, production-quality scripts in Tcl, Python, and/or Perl and are comfortable building and maintaining CAD utilities and flow components.

What we need

• A senior methodology owner to lead cross-functional efforts to solve complex timing challenges across multiple IPs, projects, and technology nodes. Experience developing and enhancing STA methodologies across the full RTL-to-GDS flow, including: Early timing estimation and timing feasibility checks. Timing optimization techniques in synthesis and place-and-route. Timing signoff methodologies and criteria. Post-route timing ECO strategies and execution.
• A technical leader to architect, optimize, and maintain production STA flows using industry-standard EDA tools, continuously improving PPA (Power, Performance, Area) and runtime efficiency.
• A methodology engineer who can explore and deploy data-driven and ML-assisted techniques to: Improve STA automation. Predict and prioritize timing risk. Guide optimization strategies across blocks and full-chip. Design, implement, and maintain scalable CAD utilities and STA flow components that improve PPA, robustness, and team productivity.
• A methodology owner who continuously refines workflows and introduces new technologies to ensure robust, PPA-optimized timing solutions across all product lines.

What you will learn

• How to scale STA methodologies across a diverse portfolio of IP and SoC programs, balancing aggressive performance targets with strict power and area constraints.
• Best practices for integrating data-driven and ML-assisted approaches into timing flows to improve automation, predictability, and decision-making.
• How to influence tool roadmaps by partnering closely with leading EDA vendors on advanced-node timing, noise, and variability challenges.
• How to operate within and help shape a rapidly evolving startup design environment, including tradeoffs between quick solutions and long-term methodology investments.
• Deeper cross-functional insight into how logic design, physical design, and DFT interact with STA methodology, and how to build flows that serve all of these stakeholders effectively.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

ABOUT THE TEAM

The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.

ABOUT THE JOB

We're seeking a Software Engineer to join our rapidly growing team in Broomfield, CO. As a Software Engineer on the Air Defense team, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

WHAT YOU’LL DO 

• Own the software solutions that are deployed to customers
• Write code to improve products and scale the mission capability to more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints
• Travel up to 30% of time to build, test, and deploy capabilities in the real world

REQUIRED QUALIFICATIONS 

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 3+ years working with a variety of programming languages such as Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems
• Developing and testing multi-agent autonomous systems and deploying in real-world environments
• Feature and algorithm development with an understanding of behavior trees
• Developing software/hardware for flight systems and safety critical functionality
• Distributed communication networks and message standards
• Knowledge of military systems and operational tactics

About the opportunity

We’re looking for an experienced Analytics Engineer to help build the next generation of Contentful’s analytics foundation, powering Insight 360, our unified Snowflake-based data platform.

In this role, you’ll design and maintain robust, scalable data models that make our business data accessible and actionable across all teams. You’ll collaborate with engineers, analysts, and business stakeholders to deliver high-quality, trusted datasets that enable data-driven decision-making across the company.

Your work will sit at the heart of Contentful’s data evolution, helping us move to a modern, governed, and insight-led architecture.

What to expect?

Data Modeling & Transformation

• Design, build, and maintain efficient, scalable analytics models in dbt and Snowflake.
• Transform raw data from diverse domains (product, finance, sales, marketing, operations) into analytics-ready structures.
• Apply best practices in modularity, documentation, and testing to ensure long-term reliability.

Pipeline Ownership

• Take ownership of analytics engineering projects end-to-end: from scoping requirements through implementation and monitoring.
• Develop reusable, maintainable data transformations that enable self-serve analytics in Tableau and other BI tools.

Enablement & Collaboration

• Partner with analysts, data scientists, and business teams to define and deliver trusted data assets.
• Collaborate with data platform engineers to optimize performance, governance, and cost efficiency in Snowflake.
• Contribute to the shared data catalog and drive adoption of best practices across analytics and engineering teams.

What you need to be successful?

Required

• Experience: 3+ years in analytics engineering, data engineering, or BI development in a modern data stack environment.
• Data Modeling: Proven expertise with SQL to build modular and well-documented data models in dbt. Understanding of various data modeling techniques.
• Warehouse Experience: Deep knowledge of Snowflake (warehouses, roles, virtual warehouses, performance tuning).
• Collaboration: Strong ability to work cross-functionally with analysts, engineers, and business stakeholders to translate needs into technical solutions.
• Data Ops: Experience applying version control, testing, and observability practices in dbt or similar frameworks.

Preferred

• Visualization: Experience structuring data for BI tools such as Tableau, focusing on scalability and performance.
• Ingestion & Orchestration: Familiarity with Airflow, or similar tools for data ingestion and orchestration.
• Reverse ETL: Working knowledge of tools like Hightouch for operationalizing insights back into business systems (e.g., Salesforce, Gainsight).
• Governance: Understanding of data cataloging, lineage, and documentation using tools like Atlan

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/21/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary: $119,000- $161,000

About the opportunity

We are seeking a Data Engineer to help design, build, and scale modern data solutions that power analytics, operational reporting, and business decision-making across the company. You will work closely with our data, analytics, and business teams to develop high-quality data pipelines, models, and integrations that deliver clean, reliable, and actionable data.

You will join a small, cross-geography engineering team operating with a product mindset - delivering iterative value, partnering closely with business and analytics stakeholders, and owning both build and run responsibilities of a mission-critical platform.

What to expect?

• Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources.
• Develop high-quality data models that support analytics, reporting, and operational use cases.
• Partner with analytics, product, and business stakeholders to understand data needs and translate them into technical solutions.
• Implement strong data quality, validation, and monitoring processes to ensure reliability and trust in the data.
• Optimize data storage, processing, and performance within cloud data warehousing environments.
• Contribute to the development and evolution of our modern data platform, including tooling, standards, and best practices.
• Support data platform operations—troubleshooting issues, improving reliability, and ensuring SLAs are met.
• Collaborate with cross-functional partners on governance, documentation, definitions, and data stewardship.
• Implement CI/CD practices and Infrastructure-as-Code (IaC) to automate deployment, testing, and environment management.
• Participate in code reviews, design discussions, and operational on-call rotations as needed.

What do you need to be successful?

Required

• 3–6+ years of experience in Data Engineering or a similar technical role.
• Strong SQL skills and experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
• Experience building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks.
• Proficiency in Python or another scripting language.
• Strong understanding of data modeling, data structures, and modern data architecture patterns.
• Experience with CI/CD workflows, version control (Git), and Infrastructure-as-Code tools (Terraform a plus).
• Familiarity with data governance, quality, lineage, and cataloging concepts and tools.
• Demonstrated ability to collaborate with analysts, engineers, and business partners in a cross-functional environment.
• Excellent communication skills and a product-focused mindset.

Preferred

• Experience with monitoring/observability tools (e.g., Monte Carlo, Datadog).
• Experience with BI tools such as Tableau or Looker.
• Background in distributed systems, APIs, or event-based architectures.
• Exposure to data security, compliance, or privacy frameworks.
• Experience utilizing AI for development.

What we're looking for

• A builder who enjoys solving complex data challenges with clean, reliable, scalable solutions.
• A collaborator who thrives in cross-functional environments and communicates clearly.
• A problem-solver who cares about quality, consistency, and long-term maintainability.
• Someone who wants to make a measurable impact by empowering data-driven decision-making across the company.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/23/26

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary Range: $119,000-$161,000

This is a hybrid role where office attendance in Denver is expected 2 days per week (Tuesday and Thursday). A $100 monthly transportation/parking stipend is provided.

About the Opportunity

Contentful is looking for a Software Engineer to join our Ecosystem product line with a primary focus on Marketplace. In this role, you will help build, maintain, and grow the systems, apps, and workflows that expand what customers can do with Contentful.

You will work across the Marketplace surface area and adjacent ecosystem tooling, helping us deliver high-impact apps, improve the contribution and review pipeline, and scale the ways internal and external developers build on top of Contentful. While Marketplace is the primary focus, this role should also be able to contribute across adjacent Ecosystem areas, such as Extensibility and Developer Experience, when priorities call for it.

This role is ideal for an engineer who is strong in front-end product work but not limited to it: someone who is comfortable moving between React surfaces, Node.js services, APIs, developer tooling, and production operations as needed. We are looking for a product-minded full-stack engineer who enjoys strong cross-functional collaboration and taking growing ownership of software through its full lifecycle in production.

We are also evolving how we build software. We increasingly use AI-assisted development workflows to accelerate delivery, reduce menial workload, and improve leverage across the software development lifecycle. We are looking for an engineer who is genuinely excited to experiment with these tools — not just adopt them passively, but bring strong engineering instincts to getting the most out of them.

 What to expect?

• Design, build, and maintain Marketplace features, apps, and supporting services that improve the experience for both app builders and app installers.
• Contribute to the systems and tooling that help Contentful teams and partners bring new apps and integrations to market faster.
• Contribute across adjacent Ecosystem problem spaces, including extensibility workflows, developer tooling, internal platform capabilities, and backend services that support developers building on Contentful.
• Improve contribution workflows, trust and safety checks, maintainability, and operational quality across Marketplace and ecosystem surfaces.
• Partner closely with product, design, and engineers across Ecosystem to shape solutions that solve meaningful customer and business problems.
• Help generalize, polish, and productionize internally-built apps and ecosystem contributions so they can be supported long term by Marketplace Engineering.
• Own software in production, including debugging issues, improving observability, strengthening reliability, and participating in support and operational responsibilities.
• Use AI-assisted workflows across planning, implementation, debugging, and documentation where they create real leverage.
• Help the team improve how we use AI in engineering by sharing practices, refining workflows, and contributing to a healthy engineering culture around quality and speed.

What you need to be successful

• Roughly 4-7 years of relevant software engineering experience
• Solid professional software engineering experience building and maintaining production systems.
• Strong experience with TypeScript and Node.js, plus solid experience building user-facing product surfaces in React or similar front-end frameworks.
• Clear strength in front-end engineering, paired with real comfort contributing to backend services, APIs, and developer-facing tooling rather than working exclusively in the UI layer.
• Experience designing and evolving APIs, integrations, and services used by other engineers, partners, or customers.
• Good judgment around reliability, maintainability, security, and technical tradeoffs in a product environment.
• Comfort working across the stack and across boundaries, from user experience to backend behavior to operational concerns.
• Strong communication and collaboration skills, including experience working cross-functionally and asynchronously across teams and time zones.
• A product mindset and real empathy for developers, partners, and customers.
• Practical experience using AI tools to improve engineering productivity, with the ability to evaluate outputs critically and maintain a high quality bar.

Nice to Have

• Experience with developer platforms, SDKs, app frameworks, marketplaces, extensibility products, or integration ecosystems.
• Experience with AWS, Terraform, Kubernetes, Cloudflare, or related cloud infrastructure.
• Experience maintaining or contributing to public or shared developer tooling.
• Familiarity with AI-native product surfaces, agentic workflows, or systems that connect software to external tools and services.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This position is not eligible for visa sponsorship. Applicants must be authorized to work without visa sponsorship by the start date of employment.

Salary Statement: The salary range displayed is specifically for potential hires who will work or reside in Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, the applicant’s skills and prior relevant experience, and certain degrees and certifications (e.g., JD/technology).

Salary Range: 136,000 - 184,000 [This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.]

This posting is open for 4 weeks from the date of posting.

ABOUT THE TEAM

The Space Imaging team is seeking a Systems Engineer to join our team. The Imaging Space team is responsible for system architecture definition, trade analyses, and modeling/validating system performance for spaceborne EO/IR systems.

In this role, you will be responsible for defining active EO/IR system architectures. You will perform radiometric performance modeling as well as laboratory, ground, and flight testing. To predict real-world performance, you will also model atmospheric and environmental effects for land, sea, and air targets. You will leverage your analyses to inform system-level architectural trades. As needed, you will also lead small teams of engineers from concept ideation through system definition and development.

You should have a track record of successfully working on fast-paced, highly technical, interdisciplinary teams. Proficiency in analytical toolchains or languages (e.g., MATLAB, Python) is required. Experience with industry standard EO/IR modeling software packages (e.g. MODTRAN, SPIRITS, AFSIM) is a plus. Prior experience working with space sensors and systems is highly desirable.

WHAT YOU’LL DO

• Define system architectures via detailed trade studies and analyses.
• Adapt or derive physics-based models of sensor system performance and derive requirements based on those models.
• Take ownership over the development of prototype sensor systems in a lab environment.
• Support both laboratory-based and field-based experiments and demonstrations.
• Engage technically with the hardware, software, and mission teams to define, integrate, and deliver high performance systems to our customers.
• Validate models against laboratory and real-world data.
• Coordinate and communicate with both external & internal stakeholders with varying degrees of technical background.

REQUIRED QUALIFICATIONS

• Model development and validation in one or more domains relevant to remote sensing
• Ability to decompose complex systems into functional parts, with clearly defined interfaces and requirements for each.
• Experience in system design and development from initial concept through test and delivery to customer.
• Strong laboratory skills (rapid prototyping, design of experiments) and familiarity with opto-electrical test and measurement equipment.
• Willingness to travel to test sites, as needed.
• Must be able to obtain and hold a U.S. security clearance.

PREFERRED QUALIFICATIONS

• Knowledge of current and next-generation advanced sensing systems and platforms
• Active and passive sensing domain experience (e.g., LiDAR, EO/IR, Radar)
• Experience with laser systems, including opto-mechanical scanning and beam steering techniques.
• Knowledge of electro-mechanical control systems, including their performance requirements and verification methodologies.
• Experience with LiDAR/Radar signal processing techniques, and knowledge of their implementation on real-time embedded platforms (FPGA, MCU, etc.).
• Experience with signature and/or scenario modeling/software packages (MODTRAN, SPIRITS, AFSIM).
• Space domain experience (architecting sensors for operation in space environments)

What You’ll Do

1. Understand spacecraft architecture and missions
2. Review current model and simulation capability
3. Identify any gaps in current simulation framework
4. Evaluate how simulation integrates with other teams within the company GSW, FSW, AI&T, MOPS, etc
5. Train as an operator to prepare for upcoming mission
6. Identify gaps from assessment and create the simulation architecture roadmap
7. Identify required models (Spacecraft subsystem, environment, GNC, etc)
8. Establish a framework that defines how hardware models, software models, and operational scenarios interact within the simulation environment
9. Establish how the digital twin gets integrated into a physics based “universe sim”
10. Establish a concrete validation strategy

 Mindset + skills: 

Mindset 

1. Systems level thinker understanding the crossroads of Physics, Software and Hardware
2. Ownership mindset serving as the technical authority across design and implementation
3. Ability to prioritize needs from multiple internal and external customers
4. Excels while operating in a fast-paced New Space environment
5. Strong desire to build and design something from the ground up
6. Someone willing to get dirty and produce code not just design
7. Passionate about creating a product that is used throughout the company 

Skills 

1. Strong understanding of orbital mechanics and astrodynamics
2. Experience modeling spacecraft dynamics, control systems, and environmental effects
3. Ability to design modular and extensible simulation architecture
4. Experience implementing physics-based simulations in Python and C++
5. Strong knowledge of numerical methods, time integration, and stability considerations
6. Experience building “universe-style” multi-body simulation environments
7. Ability to design simulations that support historical replay, real-time execution, and accelerated future-time scenarios
8. Experience with integrating simulations with GSW, FSW, AI&T, and HITL testing
9. Ability to design constellation level simulations
10. Experience designing event-driven or time-stepped simulation frameworks
11. Experience generating realistic synthetic telemetry 
12. Strong V&V practices  

 Your Ideal Background

Required

1. 10+ years of experience in modeling and simulation for complex aerospace missions
2. Deep understanding of physics engines or digital twins (subsystem/component models, dynamical systems, etc)
3. Experience developing for multiple internal stakeholders such as AI&T, GSW, MOPS, FSW, etc
4. BS in Aerospace Engineering, Physics, Computer Science or closely related STEM field
5. Deep knowledge in C++, Python, Basilisk (or similar Framework), Docker, K8, CI/CD 

Preferred 

1. Proven ownership of the design and architecture of a multi-model and simulation system
2. Understanding of distributed simulation frameworks
3. Strong foundation in multiple subsystems such as GNC, Flight Dynamics, EPS, Propulsion, etc
4. Nice to have experience simulating 6-DOF relative motion and ROPD missions 

Additional Requirements: Must be willing to work extended hours and weekends as needed.

Compensation and Benefits: Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. The anticipated salary range for this role is $130,000 - $240,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

About the role

The Verifications team is responsible for one of Checkr's most expansive product portfolios, an ever growing suite of screening products empowering informed decisions across our enterprise customers. Employment and education verifications, drug and occupational health screenings, reference checks, and right-to-work – are several of the products this team improves to drive growth and customer retention. Our customers place candidates into widely different roles, industries, and regulatory environments, each with distinct compliance and screening requirements, necessitating rapid product iteration across multiple fronts concurrently.

As Engineering Manager for Verifications, you'll own a wide surface area with meaningful room to make it better — improving accuracy and turnaround time, reducing manual touchpoints, and scaling how the team delivers across a complex mix of fulfillment integrations and compliance requirements. This role requires a focus on both immediate system scalability and long-term delivery process refinement. This includes near-term work on scaling data quality and automation systems to handle rapid growth, alongside strategic, longer-horizon investments in expanding coverage and building a faster, more consistent verification experience for our rapidly scaling candidate and customer base.

What you’ll do

• Lead and grow the Verifications engineering team — setting technical direction, driving performance and career development conversations, and building a hiring pipeline that strengthens the team over time
• Own the reliability and quality of a broad portfolio of fulfillment integrations — partnering closely with vendors and internal stakeholders to reduce friction, improve turnaround times, and minimize candidate and customer impact when issues arise
• Partner with Product to define and execute the roadmap across employment, education, drug and health, and compliance products — translating customer and regulatory requirements into clear engineering priorities
• Drive technical strategy for scaling a complex, integration-heavy system — making deliberate architecture decisions that improve coverage, reduce manual exceptions, and build toward a more automated and consistent verification experience
• Lead the team's adoption of AI-assisted development practices — helping engineers move faster while maintaining the quality and accuracy standards that a regulated, data-sensitive product requires
• Represent Verifications in cross-functional planning — serving as the engineering voice on team capacity, tradeoffs, and roadmap sequencing with Product, Compliance, and Engineering leadership

What you bring

• 4+ years as an engineering manager, with a track record of building and developing high-performing teams
• 8+ years as a software engineer, with strong command of service architecture, distributed systems, and system design
• Experience managing complex third-party integration environments — you’re comfortable owning reliability across systems you don’t fully control, and know how to structure teams and processes around that reality
• A track record of improving operational metrics — reducing incident frequency, improving detection time, or shipping reliability improvements in high-stakes production environments
• Familiarity with AI-assisted development and agentic coding tools — you understand how to help your team adopt these responsibly and can reason about the tradeoffs between velocity and quality they introduce
• Experience working on regulated products where data accuracy and legal compliance are non-negotiable
• Strong incident management skills — you can lead both the technical response and the stakeholder communication when things go wrong
• Ability to make prioritization decisions quickly, with a clear framework for balancing short-term reliability work against longer-term product investments
• Strong communication skills across technical and non-technical stakeholders — Product, Operations, Compliance, and senior leadership
• A genuine investment in developing people — through career conversations, stretch assignments, and creating conditions for engineers to grow
• Humility, openness to feedback, and eagerness to learn
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

What you’ll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend, home office stipend

At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, and Santiago, Chile. Individuals are expected to work from the office 2 to 3 days a week. In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages. 

One of Checkr’s core values is Transparency. To live by that value, we’ve made the decision to disclose salary ranges in all of our job postings. We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.

The base salary range for this role is $233,000 to $274,000 in San Francisco, CA.

The base salary range for this role is $197,000 to $232,000 in Denver, CO.

Equal Employment Opportunities at Checkr

Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.

ABOUT THE TEAM

The Anduril Imaging team develops state-of-the-art imaging systems across both hardware and software, deployed to tackle the most significant security challenges of America and its allies. The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared, and sensor data to give our war fighters and allies an advantage.

ABOUT THE JOB

The Space Imaging team is seeking an Optical Engineer to design a new product lines for spaceborne systems. In this role, you will work closely with an interdisciplinary technical team to define optical architectures, complete the optical design and analysis, build prototypes leading to ground and flight testing, and mature the prototypes into products.

Successful candidates will have experience designing and delivering environmentally rugged optical systems.

WHAT YOU’LL DO

• Lead architecture decisions, optical trades for novel optical systems for broadly defined missions
• Design lenses and optical components for high performance imaging systems
• Understand and define optical performance requirements given multi-disciplinary engineering constraints
• Design and tolerance complex visible to infrared optical systems to meet performance requirements for ground & airborne applications
• Develop and review test setups, procedures, and data to transition products and systems from R&D to production
• Evaluate and analyze prototype and production optical system performance errors to determine root cause
• Work independently and collaborate with senior staff and leadership to solve interdisciplinary technical problems by serving as the Optical Engineering subject matter expert

REQUIRED QUALIFICATIONS

• BS in Engineering required with a concentration in Optics
• MS or PhD preferred, but not required
• 5+ years of experience with complex opto-mechanical systems, performing optical system design, analysis, alignment and test in the workforce
• Expertise with optical design and analysis software, preferably Zemax
• Experience with STOP (Structural, Thermal, and Optical Performance) analysis
• Knowledge of image quality metrics and data analysis methods
• Experience with the design of diffraction limited imaging systems in dynamic environments
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Demonstrated first principles approach to complex opto-mechanical problems
• Optical component testing experience (spectral transmission, interferometry, etc.), optical system alignment and testing (EE, MTF, PSF, etc.), and opto-electrical system modeling
• Demonstrated experience in the integration, test, and performance requirements verification and validation of optical systems
• Experience with radiometry and stray light analysis
• Demonstrated team leadership experience and mentoring of junior staff
• Knowledge of common materials used in optical systems and limitations of fabrication methods of optics (molded, polished, diamond turned) as well as micro structures

ABOUT THE TEAM

The Anduril Imaging team develops state-of-the-art imaging systems across both hardware and software, deployed to tackle the most significant security challenges of America and its allies. The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared, and sensor data to give our war fighters and allies an advantage.

ABOUT THE JOB

The Space Imaging team is seeking a Senior Optical Engineer to design a new product lines for spaceborne systems. In this role, you will work closely with an interdisciplinary technical team to define optical architectures, complete the optical design and analysis, build prototypes leading to ground and flight testing, and mature the prototypes into products.

Successful candidates will have experience designing and delivering environmentally rugged optical systems.

WHAT YOU’LL DO

• Lead architecture decisions, optical trades for novel optical systems for broadly defined missions
• Design lenses and optical components for high performance imaging systems
• Understand and define optical performance requirements given multi-disciplinary engineering constraints
• Design and tolerance complex visible to infrared optical systems to meet performance requirements for ground & airborne applications
• Develop and review test setups, procedures, and data to transition products and systems from R&D to production
• Evaluate and analyze prototype and production optical system performance errors to determine root cause
• Work independently and collaborate with senior staff and leadership to solve interdisciplinary technical problems by serving as the Optical Engineering subject matter expert

REQUIRED QUALIFICATIONS

• BS in Engineering required with a concentration in Optics
• MS or PhD preferred, but not required
• 7+ years of experience with complex opto-mechanical systems, performing optical system design, analysis, alignment and test in the workforce
• Expertise with optical design and analysis software, preferably Zemax
• Experience with STOP (Structural, Thermal, and Optical Performance) analysis
• Knowledge of image quality metrics and data analysis methods
• Experience with the design of diffraction limited imaging systems in dynamic environments
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Demonstrated first principles approach to complex opto-mechanical problems
• Optical component testing experience (spectral transmission, interferometry, etc.), optical system alignment and testing (EE, MTF, PSF, etc.), and opto-electrical system modeling
• Demonstrated experience in the integration, test, and performance requirements verification and validation of optical systems
• Experience with radiometry and stray light analysis
• Demonstrated team leadership experience and mentoring of junior staff
• Knowledge of common materials used in optical systems and limitations of fabrication methods of optics (molded, polished, diamond turned) as well as micro structures

ABOUT THE TEAM

The Anduril Imaging team develops state-of-the-art imaging systems across both hardware and software, deployed to tackle the most significant security challenges of America and its allies. The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared, and sensor data to give our war fighters and allies an advantage.

ABOUT THE JOB

The Space Imaging team is seeking an Optical Engineer to focus on assembly, integration, and testing in support of a new product lines for spaceborne systems. In this role, you will work closely with an interdisciplinary technical team to own procurement, optical assembly, integration, and test activities as we mature prototypes into products.
Successful candidates will have experience building, validating, and delivering environmentally rugged optical systems in both prototype and production environments.

WHAT YOU’LL DO

• Lead the assembly, integration and test for novel optical systems
• Work with optical suppliers to procure optical elements, including regular status updates, technical oversight, acceptance test verification, and anomaly resolutions.
• Generate alignment plans and procedures
• Align optical systems with equipment including autocollimators, theodolites, alignment telescopes, interferometers, lens alignment stations, and various other mechanical methods
• Manage integration and test vendors to successfully scale production of complex infrared assemblies.
• Develop and review test setups, procedures, and data to transition products and systems from R&D to production
• Evaluate and analyze prototype and production optical system performance errors to determine root cause
• Interface with test and evaluation teams to qualify optical performance through lab, field, and airborne testing.

REQUIRED QUALIFICATIONS

• BS in Engineering or Physics/Astronomy required with a concentration in Optics
• 5+ years of experience with complex opto-mechanical systems, performing optical assembly, integration, and testing in the workforce
• Strong experience on free space optical systems integration and development for a space or airborne environment.
• Knowledge of how electro-optical systems are specified, developed, manufactured, and tested
• Experience with optical tolerancing, lens manufacturing methods, and drawing standards
• Knowledge and experience laboratory testing including optical component testing experience (spectral transmission, interferometry, etc.), optical system alignment, and testing (EE, MTF, PSF, etc.)
• Demonstrated experience in the integration, test, and performance requirements verification and validation of optical systems
• Experience in prototype and production development, including requirements validation
• Experience with optical design and analysis software (Zemax or CODE V)
• Data analysis proficiency in Matlab, Python, or similiar
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• MS or PhD in Optics
• Demonstrated first principles approach to complex opto-mechanical problems
• Knowledge of image quality metrics and data analysis methods
• Experience with the test and evaluation of optical systems through thermally and vibrationally dynamic environments.
• Demonstrated team leadership experience and mentoring of junior staff
• Knowledge of common materials used in infrared optical systems and limitations of fabrication methods of optics (molded, polished, diamond turned)
• Strong optomechanical engineering background, with experience in lens bonding and retention, athermalization, and mount design.
• Experience with Zygo MX, 4D 4Sight, or Apre Reveal interferometry software

ABOUT THE TEAM

The Anduril Imaging team develops state-of-the-art imaging systems across both hardware and software, deployed to tackle the most significant security challenges of America and its allies. The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared, and sensor data to give our war fighters and allies an advantage.

ABOUT THE JOB

The Space Imaging team is seeking an Optical Engineer to focus on assembly, integration, and testing in support of a new product lines for spaceborne systems. In this role, you will work closely with an interdisciplinary technical team to own procurement, optical assembly, integration, and test activities as we mature prototypes into products.
Successful candidates will have experience building, validating, and delivering environmentally rugged optical systems in both prototype and production environments.

WHAT YOU’LL DO

• Lead the assembly, integration and test for novel optical systems
• Work with optical suppliers to procure optical elements, including regular status updates, technical oversight, acceptance test verification, and anomaly resolutions.
• Generate alignment plans and procedures
• Align optical systems with equipment including autocollimators, theodolites, alignment telescopes, interferometers, lens alignment stations, and various other mechanical methods
• Manage integration and test vendors to successfully scale production of complex infrared assemblies.
• Develop and review test setups, procedures, and data to transition products and systems from R&D to production
• Evaluate and analyze prototype and production optical system performance errors to determine root cause
• Interface with test and evaluation teams to qualify optical performance through lab, field, and airborne testing.

REQUIRED QUALIFICATIONS

• BS in Engineering or Physics/Astronomy required with a concentration in Optics
• 5+ years of experience with complex opto-mechanical systems, performing optical assembly, integration, and testing in the workforce
• Strong experience on free space optical systems integration and development for a space or airborne environment.
• Knowledge of how electro-optical systems are specified, developed, manufactured, and tested
• Experience with optical tolerancing, lens manufacturing methods, and drawing standards
• Knowledge and experience laboratory testing including optical component testing experience (spectral transmission, interferometry, etc.), optical system alignment, and testing (EE, MTF, PSF, etc.)
• Demonstrated experience in the integration, test, and performance requirements verification and validation of optical systems
• Experience in prototype and production development, including requirements validation
• Experience with optical design and analysis software (Zemax or CODE V)
• Data analysis proficiency in Matlab, Python, or similiar
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• MS or PhD in Optics
• Demonstrated first principles approach to complex opto-mechanical problems
• Knowledge of image quality metrics and data analysis methods
• Experience with the test and evaluation of optical systems through thermally and vibrationally dynamic environments.
• Demonstrated team leadership experience and mentoring of junior staff
• Knowledge of common materials used in infrared optical systems and limitations of fabrication methods of optics (molded, polished, diamond turned)
• Strong optomechanical engineering background, with experience in lens bonding and retention, athermalization, and mount design.
• Experience with Zygo MX, 4D 4Sight, or Apre Reveal interferometry software

Position Summary: 

We are seeking a DevOps Engineer to join our growing DevOps team! This role is ideal for someone who thrives in cloud-native environments and enjoys building secure, scalable infrastructure while improving developer experience. You’ll work hands-on across our Azure and Kubernetes platforms, helping to automate processes, improve CI/CD pipelines, and enhance system visibility. 

You’ll also play a key role in helping the team move toward a more automated, self-service platform model, reducing manual support and enabling engineering teams to move faster and more efficiently. 

Salary Range: $115,000 - $140,000/year, based on experience + bonus potential  
Location - Greenwood Village, CO. 4 days in the office and 1 day remote.

How You Will Make an Impact: 

• Build and maintain CI/CD pipelines using GitHub Actions and ArgoCD, with a focus on consistency and reliability  

• Support and manage Azure infrastructure and AKS (Kubernetes) environments  

• Deploy and manage services using Helm and Kustomize  

• Contribute to Infrastructure as Code (Terraform/OpenTofu) to support scalable and repeatable environments  

• Partner with the DevOps team to improve pipeline standardization, security, and compliance practices  

• Support development of a developer self-service platform, including tooling, templates, and golden paths  

• Help advance observability initiatives, including logging, metrics, and tracing (Grafana, Tempo, Loki, Datadog)metrics, and tracing  

• Troubleshoot infrastructure and application issues, support incident response, and participate in on-call rotation  

• Work closely with engineering teams to improve developer experience (DX) and reduce friction in deployment workflows  

• Contribute to automation efforts that reduce manual support and improve system reliability  

• Leverage AI-assisted tools to enhance productivity, accelerate troubleshooting, and support development workflows 

What You Will Bring to EverDriven: 

Required Qualifications 

• 2–4+ years of experience in DevOps, Cloud Engineering, or related roles  

• Hands-on experience with Azure, AKS, and Kubernetes fundamentals  

• Experience with GitHub Actions, ArgoCD, or similar CI/CD tools  

• Proficiency in Terraform/OpenTofu or other Infrastructure as Code tools  

• Familiarity with containerization (Docker) and deployment workflows  

• Basic scripting skills (e.g., Bash, Python)  

• Understanding of GitOps principles and modern deployment practices  

• Exposure to observability tools (e.g., Grafana, Prometheus, Datadog)  

• Strong problem-solving skills and ability to troubleshoot across systems  

• Ability to collaborate with cross-functional teams and communicate effectively  

Preferred Qualifications 

• Experience contributing to developer platforms or self-service tooling  

• Exposure to observability and monitoring strategy (logging, tracing, alerting)  

• Familiarity with Azure Service Fabric or legacy infrastructure environments  

• Experience with service mesh (Istio), ingress controllers (Traefik), or policy tools (Kyverno) 
• Exposure to multi-cloud environments (e.g., GCP) 
• Experience using AI tools (e.g., GitHub Copilot, LLMs) to support engineering workflows 

• Medical, Dental, Vision insurance
• Virtual Doctor Visits with $0 Co-Pay
• Life Insurance (company paid)
• Short Term Disability Insurance (company paid)
• Long-Term Disability Insurance (company paid)
• Flexible Time Off (FTO)
• Paid Holidays
• Paid Time to Volunteer
• Flex Spending Account (FSA)
• 401K Plan (with an awesome employer match!)
• Employee Assistance Program
• Employee Discounts Program

#LI-Hybrid 

ABOUT THE TEAM

At Anduril, our Software Engineers specialize in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. Inspired by Arthur C. Clarke's vision — "Any sufficiently advanced technology is indistinguishable from magic" — we aim to achieve groundbreaking results in target tracking, state estimation, and situational awareness. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology.
 

WHAT YOU WILL DO:

• Define and influence the direction of a small team, leveraging your subject-matter expertise in target tracking and state estimation.
• Architect, maintain, and evolve complex software systems, refactoring existing codebases to improve performance, maintainability, and scalability.
• Prototype and deploy state-of-the-art algorithms for tracking, multi-sensor data fusion, and state estimation in agile, iterative development environments.
• Develop high-performance Rust software for real-time systems, ranging from tactical implementations to simulation environments and decision support tools.
• Design and implement robust filters, estimators, and probabilistic reasoning systems that enable actionable insights from noisy, ambiguous, or incomplete sensor data.
• Apply software design patterns and architectural best practices to manage technical debt and guide the evolution of production systems over time.
• Analyze system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate the benefits of our technology.
• Drive customer success by customizing algorithms and software for mission-critical use cases, including real-time tracking and sensor fusion.
• Integrate tracking and estimation technologies into the broader software development lifecycle, from requirements definition through testing and optimization.
• Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues and end-users.

REQUIRED QUALIFICATIONS

• 8+ years of professional software engineering experience & a Bachelor's degree in mathematics, physics, engineering, or other technical field (advanced degree strongly preferred)
• Demonstrated experience managing and evolving software architecture in production environments, including refactoring legacy systems and managing technical debt.
• At least 2+ years working on a single codebase or product, maintaining and expanding it as requirements evolved.
• Strong understanding of software design patterns, architectural principles, and best practices for building maintainable, scalable systems (beyond basic syntax proficiency).
• Proficiency in algorithm design, software development, and statistical modeling; experience with Rust, C/C++, Python, and Matlab is a plus.
• Solid understanding of applied mathematics, including linear algebra, optimization, probability, and stochastic processes.
• Knowledge of signal processing techniques for interpreting diverse sensor data (e.g., radar, lidar, EO/IR).
• Familiarity with big data pipelines, NoSQL databases, and the efficient handling of large-scale sensor data.
• Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.
• Demonstrated ability to work across development lifecycles, from prototyping to optimizing production systems.
• Eligible to obtain and maintain an active U.S. Secret security clearance. 

PREFERRED QUALIFICATIONS

• Experience refactoring and modernizing Rust codebases in production environments.
• Track record of architectural decision-making and technical leadership on long-lived projects.
• Contributions to open-source Rust projects or the broader Rust ecosystem.
• Experience with concurrent and parallel programming patterns in Rust.
• Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive estimation techniques.
• Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
• Strong knowledge of target tracking techniques, such as Kalman filters, particle filters, and multi-target tracking algorithms (e.g., JPDA, MHT, or PHD filters).

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

The Anduril Battlespace Awareness Radar team develops state-of-the-art radar systems, deployed to tackle the most significant security challenges of America and its allies.

ABOUT THE JOB

We are looking to hire a Systems Engineer to join our rapidly growing team in Broomfield, CO. The Battlespace Awareness team develops tactical sense- and decision-making software that provides advanced capabilities for Anduril's command and control (C2) products. This software must work with various combinations of compute hardware, connected sensor/effector hardware, and supporting software services.  It must be effective, robust, and safe across various configurations, mission sets, and customer experiences. We need systems engineers who are capable of internalizing the nuances of these complex systems, and ensuring the technical success of an end-to-end solution. 

WHAT YOU’LL DO

The Systems Engineer will support the design, development, and validation of advanced algorithmic capabilities including tracking, sensor/effector management, battlespace optimization, and threat forecasting.  This role bridges system design, requirements management, modeling and simulation (M&S), and verification & validation (V&V) activities.  You will integrate emerging capabilities into new products and system configurations.  You will lead requirements decomposition across cross-functional teams, defining success in the face of ambiguity. You will develop test plans, acceptance criteria, and analysis tools to evaluate system performance using both simulation and collected field data.   You will use data-driven analysis to verify customer requirements are met, and create artifacts to trace performance as the system evolves  You will own systems end-to-end, bringing an ability to identify and solve problems between the seams and push through to reach an ultimate desired outcome. 

• Lead the integration of emerging capabilities, bringing new products into the family of systems. This may include scoping and executing on a combination of hardware and software solutions, both internal and external to the company.
• Lead requirements decomposition across cross-functional teams, defining success in the face of ambiguity.
• Responsible for scoping ideal system laydown, scrutinizing system performance, and ensuring the deployed system is meeting customer requirements.
• Also responsible for making tradeoffs across capability, timelines, risk, cost, and other factors to deliver an outcome. 
• Own systems end to end with the ability to identify and solve problems between the seams and push through to reach an ultimate outcome.

REQUIRED QUALIFICATIONS

• 2-4 years of hardware and software systems engineering experience. Degree in Engineering, Physics, Robotics, Mathematics, or a related field. 
• Demonstrated use of model based systems engineering in program lifecycle. Experience with tools such as: JAMA, Cameo, Matlab, Simulink, AFSIM.
• Proficiency with programming languages such as Python for data parsing, modeling & simulation, data analysis, and visualization. 
• Skilled in Statistics, AI/ML, Requirements, Testing, MBSE.
• Demonstrated proficiency in the application of engineering standards into engineering processes or requirements.
• Demonstrated experience collaborating across cross-functional teams.
• Ability to communicate complex technical findings clearly to developers, system leads, and customers.
• Comfortable working with ambiguity, evolving priorities, and challenging problems.
• Experience conducting system and software-level hazard analyses (e.g., Functional Hazard Analysis) to identify potential failures and define risk mitigation strategies.
• Familiarity with DoD System safety standards such as MIL-STD-882E
• Skilled in working software developers and QA teams to review software architecture, design, and code against safety principles and contribute to the maintenance of the system hazard log.
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Up to 25% travel to customer sites.

PREFERRED QUALIFICATIONS

• Familiarity with Linux OS.
• Familiarity with processes and constraints for real-time and safety-critical software.
• Working knowledge of C/C++ or Rust (coding full-time is not required but understanding is valuable)
• Understanding of the full software development lifecycle.
• Prior involvement in field exercises, test events, experimentation campaigns.
• Comfortable obtaining data from software platforms using command-line tools.
• Previous experience in a defense, aerospace, or naval environment.
• Experience with any of the following: radar, optics, tracking systems, distributed systems, autonomous systems, computer vision, wireless communication, software defined radios, networking. 

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;
• AngularJS, Node.js, Javascript, and full-stack web development. 
• 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 Anduril Battlespace Awareness Radar team develops state-of-the-art radar systems, deployed to tackle the most significant security challenges of America and its allies. The Radar team is seeking an experienced Staff RF Engineer to help us design, test, and deploy the next generation of US radars. The Radar team is responsible for all aspects of radar system development, from the ideation stage through initial production.  In this role, you will work closely with an interdisciplinary technical team to define radar architectures, design solutions, build prototypes, perform testing, and mature the prototypes into products. 

WHAT YOU'LL DO:

• Own the design and development of advanced phased arrays and RF electronics for military radar systems, ensuring cutting-edge performance and reliability.
• Lead testing, troubleshooting, and optimization efforts to ensure radar systems meet rigorous performance requirements across various operating environments.
• Mentor and guide junior engineers, fostering technical growth and ensuring quality across the team’s deliverables.
• Collaborate with cross-functional engineering teams to define radar architectures, system concepts, and end-to-end product requirements.
• Conduct trade studies, RF simulations, and prototyping to drive innovation and ensure optimal system performance.
• Drive technical decision-making and contribute to programmatic strategy, ensuring alignment with company objectives and mission success.
• Stay ahead of emerging technologies, industry trends, and best practices to maintain Anduril’s technological edge.
• Support production ramp-up, including design for manufacturing (DFM), design for testability (DFT), and supplier engagement.

REQUIRED QUALIFICATIONS:

• Bachelors degree in electrical engineering, electronics engineering, computer engineering or related field.
• 7+ years of professional experience in developing RF electronics, phased arrays, antennas or related radar electronics
• Proficiency in RF design and analysis tools such as Ansys HFSS, Keysight ADS, or comparable tools.
• Expertise with RF measurement equipment, including Network Analyzers, Signal Analyzers, and Near Field Scanners.
• Strong knowledge of PCB design (schematic capture, layout), with experience in tools like Altium.
• Deep understanding of electronic systems engineering, including design specification, part selection, and test planning.
• Proven ability to lead technical initiatives, solve complex problems, and implement innovative solutions with attention to detail.
• Demonstrated experience working across multidisciplinary teams in fast-paced environments.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

TOOL FAMILIARITY:

• Electromagnetic Simulation Tools: Ansys HFSS or comparable.
• RF Circuit Design Tools: Keysight Advanced Design System (ADS) or similar.
• Electronics Design Tools: Altium or comparable PCB design tools.
• Programming Languages: Python, MATLAB, C++, or similar for design, simulation, and testing.
• Test Equipment: Signal analyzers, RF network analyzers, Near Field Scanners, etc.
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS:

• Masters degree in RF/Microwave Engineering
• Expertise in active phased array radar and beamforming technologies.
• Knowledge of antenna array simulation, design, and manufacturing
• Familiarity with advanced PCB technologies for high-frequency RF and high-density routing/interconnect.
• Proven track record of leading phased array radar system designs from concept to production in a defense or aerospace environment.

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

The Anduril Imaging team develops state-of-the-art imaging systems across both hardware and software, deployed to tackle the most significant security challenges of America and its allies. The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared, and sensor data to give our war fighters and allies an advantage.

ABOUT THE JOB

Anduril Imaging’s System Engineering team is seeking a Systems Engineer to join our team. The System Engineering team is responsible for system architecture definition, trade analyses, and modeling/validating system performance for land, sea, air, and space EO/IR applications.

In this role, you will be responsible for defining active EO/IR system architectures.  You will perform radiometric performance modeling as well as laboratory, ground, and flight testing.  To predict real-world performance, you will also model atmospheric and environmental effects for land, sea, and air targets. You will leverage your analyses to inform system-level architectural trades.  As needed, you will also lead small teams of engineers from concept ideation through system definition and development.

You should have a track record of successfully working on fast-paced, highly technical, interdisciplinary teams.  Proficiency in analytical toolchains or languages (e.g., MATLAB, Python) is required.  Experience with industry standard EO/IR modeling software packages (e.g. MODTRAN, SPIRITS, AFSIM) is a plus.

WHAT YOU’LL DO

• Define system architectures via detailed trade studies and analyses.
• Adapt or derive physics-based models of sensor system performance and derive requirements based on those models.
• Take ownership over the development of prototype sensor systems in a lab environment.
• Support both laboratory-based and field-based experiments and demonstrations.
• Engage technically with the hardware, software, and mission teams to define, integrate, and deliver high performance systems to our customers.
• Validate models against laboratory and real-world data.
• Coordinate and communicate with both external & internal stakeholders with varying degrees of technical background.

REQUIRED QUALIFICATIONS

• Model development and validation in one or more domains relevant to remote sensing
• Ability to decompose complex systems into functional parts, with clearly defined interfaces and requirements for each.
• Experience in system design and development from initial concept through test and delivery to customer.
• Strong laboratory skills (rapid prototyping, design of experiments) and familiarity with opto-electrical test and measurement equipment.
• Willingness to travel to test sites, as needed.
• Must be able to obtain and hold a U.S. security clearance.

PREFERRED QUALIFICATIONS 

• Knowledge of current and next-generation advanced sensing systems and platforms
• Active and passive sensing domain experience (e.g., LiDAR, EO/IR, Radar)
• Experience with laser systems, including opto-mechanical scanning and beam steering techniques.
• Knowledge of electro-mechanical control systems, including their performance requirements and verification methodologies.
• Experience with LiDAR/Radar signal processing techniques, and knowledge of their implementation on real-time embedded platforms (FPGA, MCU, etc.).
• Experience with signature and/or scenario modeling/software packages (MODTRAN, SPIRITS, AFSIM).

The Test and Analysis team is responsible for ensuring that emerging products are ready for the harsh conditions of air, land, sea, and space environments. Our team supports multi-disciplinary product teams across the full life cycle to design, develop, and validate new and existing products. This includes requirements analysis, environmental and electromagnetic interference testing, reliability testing, and manufacturing sustainment efforts. The Test and Analysis team achieves these objectives through consistently striving to understand primary design drivers through analytical modeling, including specialized structural-thermal-optical performance (STOP) analysis, along with strategic engineering validation and qualification test campaigns. This fused approach ultimately enables us to identify opportunities for product robustness and quickly implement solutions to ensure critical capabilities efficiently make it into the hands of our military and its allies.

We are looking for a Senior Thermal Analyst to join our rapidly growing team in Boulder, CO. In this role, you will be responsible for performing thermal analysis and taking ownership of thermal design aspects across hardware development programs. You will execute first order assessment of designs to guide preliminary design architecture, develop detailed analytical models to mature prototype designs and develop predictions to support hardware testing.  If you are someone who is excited to work on new projects from conceptualization through production and are passionate about developing validated and correlated models to support the rapid prototyping of cutting edge systems.

WHAT YOU’LL DO 

• Execute hand calculations, spreadsheet, and MATLAB/Python first-order models to inform path forward before jumping into detailed analysis. Use first principles as a basis for every decision and discern the right level of analysis to apply based on state of hardware design and program goals
• Develop appropriate CFD models and simulations to predict temperatures, heat transfer, and fluid characteristics as needed to meet design schedules. Generate, maintain, and correlate integrated FEMs for imaging platforms.
• Experience with EO/IR sensors and familiarity with structural, thermal, optical performance (STOP) analysis
• Perform test-model correlation testing to validate analytical predictions
• Work closely with environmental test engineers to support the design, instrumentation selection, execution, and data processing of tests to validate models and predictions, including fundamental
• Prepare technical reports to present findings to internal teams, management, and external customers
• Stay current with advancements in thermal analysis techniques, materials technology, and industry standards

REQUIRED QUALIFICATIONS 

• Currently pursuing or have obtained a MS or higher degree in engineering or applied physics with focus on heat transfer and fluid dynamics
• 7+ years of experience in a thermal analysis or thermo-physics analysis role
• Thermal FEA experience – STAR-CCM+, ANSYS, Icepak, or Flotherm
• Familiarity with Matlab or Python (or equivalent) for developing analytical models and performing data acquisition & post-processing
• Experience with performing test-model correlation and test based characterization of critical modelling input parameters
• Good at working independently and with various teams and key stakeholders
• Highly motivated, self-starting, results oriented, and capable of working in a dynamic environment
• Eligible to obtain and maintain an active U.S. Secret security clearance 

PREFERRED QUALIFICATIONS 

• General knowledge of climatic and/or dynamic testing including understanding of various instrumentation and data acquisition fundamentals
• Knowledge on how to run and operate chambers, DAQs, and other major test apparatus
• CAD skills (any platform) and ability to make high quality engineering drawings that meet common industry standards
• Experience in an immersive interdisciplinary technical project (collegiate project teams or professional settings)
• Basic knowledge of MIL-STD-810 or equivalent

ABOUT THE TEAM

Anduril's Air & Missile Defense Radar team develops cutting-edge tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. Working in small, focused teams, our software engineers design and implement sophisticated tracking solutions that protect lives and critical assets. Our work spans the full spectrum—from developing novel multi-target tracking algorithms to building high-performance distributed systems that process massive amounts of sensor data in milliseconds

We don't just publish papers; we deploy production-grade systems that our government and industry customers depend on for mission-critical operations. If you're passionate about applying mathematics, software engineering, and signal processing to solve complex real-world problems, we want to hear from you.

WHAT YOU WILL DO

• Design and implement advanced tracking algorithms for novel air and missile threats, including multi-target tracking, track fusion, and discrimination techniques
• Develop high-performance, real-time software systems that process radar sensor data and maintain tracks on dozens to hundreds of simultaneous targets
• Build and leverage modeling & simulation environments to validate tracking performance, quantify system capabilities, and identify areas for improvement
• Collaborate directly with radar engineers and system architects to integrate tracking solutions into end-to-end defense systems
• Optimize tracking software for performance-critical environments where milliseconds matter
• Communicate technical concepts and trade-offs to cross-functional teams, program leadership, and customers to drive informed decisions
• Participate in customer demonstrations and field tests to ensure successful deployment and operational effectiveness

REQUIRED QUALIFICATIONS

• 2 years of relevant experience & Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related technical field (or equivalent experience)
• Strong programming skills in C++ and Python
• Solid foundation in mathematics: linear algebra, probability, statistics, and/or differential equations
• Understanding of software engineering fundamentals: design patterns, testing, version control, and debugging
• Ability to obtain and maintain a U.S. Top Secret SCI security clearance

DESIRED QUALIFICATIONS

• Experience with tracking, estimation, or filtering algorithms (Kalman filters, particle filters, multiple hypothesis tracking, etc.)
• Background in controls, estimation theory, or digital signal processing
• Familiarity with radar systems or sensor fusion
• Experience with high-performance computing (multithreading, GPU acceleration, distributed systems)
• Knowledge of machine learning techniques for classification, clustering, or data association
• Proficiency with database technologies (SQL, NoSQL, time-series databases)
• Experience with web development technologies (JavaScript, React, Node.js) for building visualization and analysis tools
• Familiarity with modeling and simulation tools (MATLAB, Simulink, or custom frameworks)
• Experience working in agile development environments
• Active U.S. Top Secret SCI 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

• 8+ years of experience and a Bachelors degree or equivalent education/work experience
• C/C++ and Python
• 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

We're seeking a product security engineer to own security for assigned products, particularly radar systems, in your technical domain. This role involves providing expert consultation on security architectures, guiding the implementation of security features, developing solutions engineering for complex security challenges, and ultimately securing our suite of advanced technologies including artificial intelligence systems, command and control platforms, aerospace vehicles, and long-range sensors. The ideal candidate has a background in electrical or software engineering, with a focus on platform security, or has pivoted to a product or application security role. They will be able to conduct complex security architecture reviews, research and mitigate exploits against hardware and software, and work with other engineering teams to build resiliency into our products.

ABOUT THE JOB

As a Product Security Engineer, you will own the end-to-end security for assigned radar products. This includes deriving and decomposing security requirements from customer needs and threat intelligence, designing security architectures, and actively building, integrating, and testing security features throughout the product lifecycle. You will also be responsible for conducting security reviews, researching exploits, and collaborating with engineering teams to ensure robust security for radar systems. 

WHAT YOU WILL DO

• Owns the development and maturation of security features for Anduril’s radar products.
• Collaborates and builds solutions with engineering teams to meet and exceed industry-standard security goals for radar systems
• Collaborate with security assessment teams to assess Anduril’s radar products and integrated components to uncover potential weaknesses
• Collaborates with manufacturing and operations teams to develop secure handling and operational processes for radar systems
• Engages with teams to remediate uncovered weakness in designs, implementations, integrations, and processes for radar systems
• Implement security features and capabilities, develop and execute comprehensive security test strategies at multiple integration levels, and support major milestone deliveries (SRR, PDR, CDR, TRR, PRR)

REQUIRED QUALIFICATIONS

• 8+ years of experience and a Bachelors degree or equivalent education/work experience
• Experience with one or more programming languages (e.g. C/C++, Golang, Rust, Python)
• Experience assessing security of firmware, applications, network, IoT, or embedded systems
• Experience developing features for and improving security of firmware, applications, network, or embedded systems
• Experience building, testing, and delivering production-ready systems, especially for embedded and/or Linux systems
• Familiarity with anti-tamper and reverse engineering mechanisms
• Strong and professional communication skills (written and verbal)
• Strong understanding of the "why" behind product, systems, and security design
• Must be eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Familiarity with security architectures of embedded, aerospace, or cyber-physical systems
• Fluency in modern USG cyber methodologies, including Cyber Survivability guidance and related policy (JSIG, ICD 503, CSEIG, SSECG, NIST SP 800-160, Cyber T&E Guidebook, CMMC, etc.)
• Experience with programmable logic devices and their development tools
• Regularly builds, tests, and delivers production-ready systems, especially for embedded and/or Linux systems

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

The Anduril Battlespace Awareness Radar team develops state-of-the-art radar systems to tackle significant security challenges for America and its allies. The team is seeking a Radar Engineer to help develop and implement RF sensing technologies. They are responsible for all aspects of radar system development, from ideation through initial production. In this role, you will work closely with interdisciplinary technical teams to understand radar design objectives and end-user needs, using this knowledge to design, plan, and execute to ensure optimal radar performance.

WHAT YOU'LL DO

• Conceptualize, develop, and implement RF sensing technologies for platforms in all domains
• Collaborate with cross-functional teams to define and evaluate architectures and concepts of operations for complex systems-of-systems
• Conduct rigorous analysis at the system-of-systems level; assess and decompose requirements flown to the radar subsystem level
• Create, communicate, and establish consensus for internal development roadmaps
• Develop, refine, and realize advanced RF sensing techniques, algorithms, and technologies
• Engage with industry leaders to align external roadmaps with Anduril business plans and pursuits
• Provide technical expertise to programmatic and business leadership to support strategic decision-making
• Guide, direct and mentor team members in theory and best practices

REQUIRED QUALIFICATIONS

• At least a bachelor’s degree in mathematics, physics, engineering, or other technical field (advanced degree preferred)
• Proven experience in a technical leadership position developing high-performance defense radar systems
• Strong expertise in radar architecture, radar modes, and system modeling
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• 5+ years of demonstrated experience as an individual contributor in radar hardware, algorithms, software, or systems design.
• Proficiency in MATLAB, Python

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

The Anduril Battlespace Awareness Radar team develops innovative and differentiated radar solutions to tackle significant security challenges for America and its allies. We are looking for highly collaborative engineers that will bring significant expertise, experience and energy to the team's endeavors.  

ABOUT THE JOB

Anduril seeking a skilled and experienced Edge Software Deployment Engineer to join our radar software team. The ideal candidate will be responsible for deploying, managing, and securing software that runs on the embedded, heterogeneous processors within our radar systems. This role requires a unique blend of embedded systems knowledge, DevOps practices, and experience with diverse hardware architectures.

WHAT YOU WILL DO

• DevOps for Embedded Systems: Adapt standard DevOps principles and tools for the unique constraints of embedded systems for Radar, which includes managing fleet-wide software updates for devices with intermittent connectivity.
• Security: Integrate security best practices and tools into the development and deployment process from the beginning (DevSecOps). This includes core security hardening (e.g., implementing STIGs), kernel hardening (e.g., using Address Space Layout Randomization, Control Flow Integrity, and securing boot processes), securing the software supply chain, managing updates, and implementing robust security controls on embedded hardware.
• Deployment and Provisioning: Lead the design and automation of the edge provisioning pipeline, from operating system setup to application deployment and monitoring.
• Continuous Integration/Continuous Deployment (CI/CD): Design, implement, and maintain CI/CD pipelines using tools like CircleCI to automate the build, testing, and deployment of software to edge devices.
• Operating Systems (OS): Manage and customize embedded Linux distributions (e.g., using Yocto or NixOS) for performance, reliability, and security on ARM and GPU architectures.
• Heterogeneous Architecture Support: Deploy and manage software across our diverse hardware platform, which includes:
  • Nvidia Jetson: Deploy, optimize, and manage software on Nvidia Jetson GPUs
  • FPGAs: Interact with HDL firmware for FPGAs (Altera Agilex, Xilinx Ultrascale) and C++ applications for soft processors within FPGAs,  using development toolchains like Quartus and Vivado.
  • CPU Architectures: Deploy and manage software for ARM CPU architectures.
• System Integration: Collaborate with hardware, firmware, and software engineering teams to ensure seamless hardware-software integration.
• Troubleshooting: Provide technical support and troubleshoot software issues on fielded devices.

REQUIRED QUALIFICATIONS

• 8+ Years of experience and a Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field
• Proven experience in a DevOps, SRE, or embedded systems role.
• Deep expertise in Linux internals and system-level configuration.
• Experience with declarative configuration management, preferably with Nix or NixOS, for creating reproducible build environments.
• Experience with CI/CD tools such as CircleCI.
• Proficiency in scripting languages like Python and Bash.
• Hands-on experience with hardware-in-the-loop (HITL) and system integration labs (SIL).
• Experience with containerization (Docker) and orchestration tailored for resource-constrained edge environments.
• Solid understanding of cybersecurity principles for embedded and edge devices, including core hardening techniques.
• Excellent communication and problem-solving skills.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

DESIRED SKILLS (PLUS)

• Experience with bootloaders like U-Boot and secure boot processes.
• Familiarity with FPGA development tools such as Quartus and Vivado.
• Knowledge of network protocols and security on embedded systems.
• Experience deploying embedded systems in air-gapped or intermittently connected environments

ABOUT THE TEAM

Our Quality Engineering team is a dedicated group of professionals committed to ensuring the highest standards of quality in our processes. We play a crucial role in maintaining the integrity and reliability of our products, working collaboratively to identify, analyze, and resolve quality issues. Our team thrives on a culture of continuous improvement and innovation, leveraging data-driven insights to enhance processes and outcomes.

ABOUT THE JOB

We are seeking a Quality Engineer to join our growing team in Fort Collins, CO. You will work inside and outside the organization to define, develop, and execute processes to ensure the delivery of high quality, reliable and performant radar products to end customers.  You will help drive Anduril's internal quality management system to meet AS9100 requirements.  You will partner across the product development organization, production organization, and field operations organizations to continuously improve product quality at the various lifecycle phases of the product through the use of root cause analyses, corrective actions, and failure analyses.  This role will be dynamic and full of new engagement, challenges and opportunities.  If you are someone who has passion for the quality of their work, enjoys hands-on engagement with design engineering, production and vendors, possesses strong analytical skills and attention to detail, then this opportunity is for you! Your proactive problem-solving approach will be vital to our quality initiatives.

WHAT YOU’LL DO

• Own Calibration procedure and calibration of production assets along with dev. assets.
• Own 6S for the production and development areas.
• Reviewing Engineering drawings, manufacturing and inspection work instructions
• Verifying and inspecting incoming inspection of PCBAs, COTS and mechanical components.
• Ensuring non-conformance's and RCCA's are accurately controlled, documented and dispositioned
• Maintain quality records and support QMS requirements IAW AS9100
• Trending Quality metrics and performing/leading root cause analysis and corrective action
• Review PCB/PCBA schematics, layouts, assembly drawings, and create test documentation

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Electrical Engineering or similar technical field
• 2+ years of experience with PCBAs, electrical assemblies, or electronics manufacturing
• Experience working in AS9100 environment (Preferred)
• Ability to interpret PCB schematics, layouts, and BOMs along with Mechanical components drawings and BOMs.
• Familiarity with PCBA manufacturing processes and component-level troubleshooting
• Hands-on experience with test equipment (multimeter, oscilloscope, power supplies)
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS

• Working knowledge of product development methodologies such as Failure Modes and Effects Analysis (FMEA), Change Management, and Advanced Product Quality Planning (APQP) and Geometric Dimensioning and Tolerancing (GD&T)
• Working knowledge of electro-mechanical design and relevant manufacturing processes.
• Knowledge of ISO 9001 or AS9100 standard.
• Familiarity with IPC-A-600 & IPC-A-610 or standards is preferred.

ABOUT THE TEAM 

The Anduril Imaging team develops state-of-the-art imaging systems across both hardware and software, deployed to tackle the most significant security challenges of America and its allies. The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared, and sensor data to give our war fighters and allies an advantage. 

ABOUT THE JOB:  

We are seeking a skilled Mechanical Engineer to join our team, focusing on the design and development of Space-Based advanced complex electro-mechanical and structural and electronics packing. The ideal candidate will have a strong background in mechanical design, development, analysis, and manufacturing tasks on complex mechanical hardware including precision space structures and mechanisms in a program team environment. 

WHAT YOU'LL DO 

• Develop Space-Based cutting-edge infrared sensors. 
• Design high-precision and complex space opto-mechanical
• Develop and perform testing to show proof-of-design and/or qualification of new designs.
• Utilize first principles physics as a basis for all decisions. 
• Build prototypes, analyze failures, and transition successful projects into production. 
• Support critical hardware demonstrations with customers as needed. 
• Execute in-depth and rigorous opto-mechanical and electro-mechanical designs. 

REQUIRED QUALIFICATIONS 

• Bachelor's in mechanical engineering (BSME), or MS with 5 plus years of experience in design, hardware, or integrated product development and testing, and excellent leadership/communication 
• Prior or current experience with spaceflight imaging applications, especially related to optical systems
• Proficiency in various CAD tools and openness to using new software, with the ability to create high-quality engineering drawings that meet industry standards. 
• Strong skills in material selection, finishing, component sizing, system design, and troubleshooting. 
• Exceptional analytical, troubleshooting, and root-cause analysis skills. 
• Demonstrated hands-on fabrication skills. 
• Ability to integrate electronic components into mechanical designs (motors, controllers, sensors, etc.). 
• Experience with machining and fabrication processes, sheet metal, injection molding, and 3D printing. 
• Knowledge of industry standards (e.g., ASME Y14.5 GD&T) and regulatory requirements. 
• Ability to drive projects from concept to completion 
• Excellent written and verbal skills for documentation, presentations, and collaboration. 
• Eligible to obtain and maintain an active U.S. Secret security clearance 

PREFERRED QUALIFICATIONS 

• Experience with complex optical system design, analysis, testing, and implementation. 
• Experience in working with engineering teams from conceptual through detailed design phases
• Experience in design of space-based mechanical structures, mechanisms, and electronics packaging along with engineering drawing development.
• Proficiency in tolerance stack-up analysis for mechanical designs as well as GD&T
• Experience with thermal management. 
• Preference for Siemens NX & Teamcenter experience. 
• Working knowledge of DFMA. 

ABOUT THE TEAM

The Radar team at Anduril develops state-of-the-art sensing capabilities for air surveillance, counter-UAS, and counter-intrusion missions. Our software-defined radars provide persistent, all-weather detection and tracking of aerial and ground threats, seamlessly integrating with Lattice OS to enable autonomous decision-making and multi-sensor fusion. We're building next-generation radar systems that are rapidly deployable, highly mobile, and designed for the modern battlefield—from protecting critical infrastructure to enabling advanced air defense operations.

ABOUT THE JOB

The Mission Operations (MOPs) team is responsible for managing the execution, growth, and success of our customer accounts. Working across product, engineering, sales, and logistics teams, our Mission Operations Engineers own the customer relationships and develop, plan, and deploy Anduril products in support of their missions. They work side-by-side with customers to understand their specific problem sets and then shape Anduril's offerings alongside our engineering teams to fit the mission needs. Because the problems we solve are uniquely challenging, our Mission Operations Engineers naturally gravitate toward finding solutions and are adept at navigating organizational hurdles. They are ultimately responsible for customer and mission success and therefore play a critical role in the shaping and future of Anduril Industries.
 

WHAT YOU'LL DO

• Serve as "project manager" / "on-site lead" working directly with U.S. military, DHS, and allied customers to deliver Anduril's radar and integrated sensor capabilities across multiple locations
• Lead a small team of engineers through site standups from initial radar integration through operational acceptance while interfacing with strategic end-users throughout the process
• Responsible for monitoring radar system performance, connectivity, integration with mesh networks, and fusion with other sensors (EO/IR, RF) and C2 systems at distributed sites and with partner organizations
• Gather, triage, and prioritize user feedback on radar detection performance, tracking accuracy, classification capabilities, issues, and errors found during fielding, testing, exercises, and normal use within operational schedules
• Provide input to account and engineering teams on radar features, detection algorithms, and UI/UX improvements that enhance or greatly improve efficiency of operator workflows
• Support engagement with other units, commands, and organizations for increased deployment and installation of our radar systems across military installations, critical infrastructure sites, and forward operating locations
• Develop and contribute to a streamlined user feedback and engagement system for radar operations, which could include issue tracking, operator training sessions, refreshers, and focused preparation for exercises and events

REQUIRED QUALIFICATIONS

• 5+ years of experience and a Bachelors degree in electrical engineering, electronics engineering, computer engineering or related field
• Willingness to travel 50% - 75%
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Familiarity and experience working with materiel leadership or mission partners within Army Air & Missile Defense, USMC Ground Based Air Defense, SOCOM, DHS CBP, or allied defense organizations and working knowledge of the counter-UAS and air surveillance competitive landscape
• Basic understanding of radar fundamentals, sensor fusion concepts, or air defense operations
• Experience working in small, cross-functional teams, solving complex problems, surrounded by ambiguity
• Experience working in high-stress environments, including field deployments or operational settings
• Self-starter who takes initiative with little direction
• Ability to communicate efficiently and succinctly both internally across our entire team and externally to multiple stakeholders including military operators, program managers, and technical staff

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

The Anduril Imaging team develops state-of-the-art imaging systems across both hardware and software, deployed to tackle the most significant security challenges of America and its allies. The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared, and sensor data to give the US and its allies an advantage.

ABOUT THE JOB

As an Electrical Engineer at Anduril Imaging, you will design and develop advanced electronics for state-of-the-art imaging systems. Your role will span the complete product life cycle from full system architecture design to laying out circuits on PCBAs to fielding production units. The ideal candidate will be comfortable with hands-on testing, collaboration with cross-functional teams, and rapid design cycles to ensure optimal performance and integration of cutting-edge technologies.

WHAT YOU’LL DO

• Contribute to the design, development, and testing of electronics for EO/IR systems, including sensor electronics and power management.
• Support systems engineering teams in defining and refining requirements based on physics-based models of sensor and system performance.
• Assist in the design and development of PCB layouts in collaboration with the electrical engineering team.
• Participate in system testing in both the lab & field, providing detailed data analysis and feedback.
• Conduct troubleshooting and testing of electronic components and subsystems to ensure optimal performance.
• Work closely with technical leads and project teams to support system integration efforts.
• Document test results, system designs, and processes to maintain thorough technical records.

REQUIRED QUALIFICATIONS

• 5+ years of experience in electrical engineering, focusing on system-level design, development, and testing.
• A degree in Electrical Engineering or equivalent.
• Experience with analog and digital electronics design, testing, and troubleshooting.
• Proficiency in laboratory skills, including setting up and running experiments.
• Familiarity with PCB design tools and methodologies.
• Excellent problem-solving skills with a detail-oriented mindset.
• Ability to collaborate effectively within a multidisciplinary engineering team
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience in sensor or communication systems, such as RF, EO/IR, or optical technologies.
• Familiarity with rad-hard and space-based electronics design.
• Familiarity with analytical tools and programming languages such as MATLAB, Python, or C++.
• Understanding of system integration processes and workflows in aerospace or defense environments.

ABOUT THE TEAM

Anduril's Air & Missile Defense Radar team develops cutting-edge tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. Working in small, focused teams, our software engineers design and implement sophisticated tracking solutions that protect lives and critical assets. Our work spans the full spectrum—from developing novel multi-target tracking algorithms to building high-performance distributed systems that process massive amounts of sensor data in milliseconds.

ABOUT THE JOB

We are seeking a DevSecOps Engineer to build and maintain the secure automation infrastructure that powers our radar tracking deployments, create testing and analysis tools to support tactical software, and accelerate developer workflows. You'll design CI/CD pipelines, architect core tooling, implement Infrastructure-as-Code, and establish continuous compliance workflows that enable our engineering teams to deploy updates rapidly while meeting stringent DoD and IC security requirements.
 

WHAT YOU WILL DO

• Design and implement secure CI/CD pipelines for classified environments, enabling automated build, test, and deployment of radar tracking software across multiple enclaves
• Build Infrastructure-as-Code frameworks (Terraform, Ansible, or similar) to provision and configure development, test, and production environments that meet DISA STIG and NIST 800-53 requirements
• Automate security compliance workflows, including STIG scanning, vulnerability assessment, configuration validation, and compliance reporting for continuous monitoring
• Develop containerization and orchestration solutions (Docker, Kubernetes) tailored for classified networks with appropriate security hardening
• Implement secrets management, certificate rotation, and access control systems that balance security with developer productivity
• Create monitoring and logging infrastructure to support security operations, troubleshooting, and incident response
• Collaborate with software engineers to optimize build processes, reduce deployment friction, and integrate security controls early in the development lifecycle
• Support ATO preparation and continuous monitoring by generating compliance artifacts, evidence packages, and security documentation
• Partner with system administrators and ISSM/ISSO personnel to ensure deployed systems meet customer security requirements 
• Work alongside tactical software developers to identify pain points and process deficiencies and architect durable solutions

REQUIRED QUALIFICATIONS

• 5+ years of experience and a Bachelor's degree in Computer Science, Engineering, Cybersecurity, or related field (or equivalent experience)
• Strong hands-on experience with CI/CD tools such as GitLab CI, Jenkins, GitHub Actions, or similar
• Understanding of software engineering fundamentals: design patterns, testing, version control, and debugging
• Proficiency with Infrastructure-as-Code using Terraform, Ansible, Puppet, Chef, or similar tools
• Working knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes, Docker Swarm)
• Understanding of Linux system administration, networking, and scripting (Python, Bash)
• Familiarity with DoD security frameworks (RMF, NIST 800-53, DISA STIGs)
• Ability to obtain and maintain a U.S. Top Secret SCI security clearance

DESIRED QUALIFICATIONS

• Experience deploying and maintaining systems in classified DoD or IC environments
• Hands-on experience with ATO processes, STIG implementation, and continuous monitoring for accredited systems
• Proficient in Python package development
• Familiarity with SCAP-compliant scanning tools (OpenSCAP, Nessus, ACAS) and automated compliance frameworks
• Experience with secure software supply chain practices, artifact signing, and software bill of materials (SBOM)
• Knowledge of zero-trust architectures and microsegmentation in Kubernetes environments
• Experience with GitOps workflows and declarative infrastructure management
• Proficiency with observability and monitoring tools (Prometheus, Grafana, ELK stack, Splunk)
• Understanding of PKI, certificate management, and secrets management solutions (Vault, AWS Secrets Manager)
• Experience with air-gapped or disconnected network deployments
• Familiarity with real-time or embedded systems and their unique deployment constraints
• Active U.S. Top Secret SCI clearance
• Relevant certifications such as Security+, CISSP, or AWS/Azure security certifications

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

We’re seeking a Senior+ Software Engineer to own and scale the backend systems powering our clinician-facing provider platform. While this is a full-stack environment, your focus will be primarily on backend services, APIs, and data pipelines that support clinician workflows, reporting, and internal tools.

You’ll work closely with product, design, and other engineers to deliver high-impact, production-grade systems. There’s also flexibility to contribute to front-end work (dashboards, report builders, internal tools), but the core of your impact will be in building robust, scalable backend systems.

What You'll Do:

• Design, build, and maintain backend services, APIs, and data models that power clinician workflows and reporting.
• Collaborate with front-end engineers to integrate backend functionality into dashboards, report builders, and internal clinical tools.
• Ensure reliability, scalability, and performance of data-rich applications
• Participate in system architecture discussions, code reviews, and knowledge sharing.
• Debug and troubleshoot issues across backend services and data pipelines.
• Partner with product and design to translate complex clinical requirements into technical solutions.
• Stay current with modern software engineering practices, especially in backend development.

Qualifications:

• 5+ years of professional software engineering experience, with strong backend focus.
• Expertise in Python, Node.js, or similar backend technologies.
• Solid experience with relational and/or NoSQL databases, data modeling, and API design.
• Comfortable owning backend features end-to-end, from database design to APIs and integrations.
• Experience building production-grade, data-driven applications.
• Familiarity with front-end frameworks (React, Angular, Vue) is a plus, but not required.
• Strong focus on code quality, maintainability, and documentation.
• Thrives in fast-moving, early-stage environments with greenfield projects.
• Experience building B2B SaaS or internal tools is a plus.
• Healthcare or regulated environment experience is a bonus, but not required.

Tenstorrent is seeking an Physical Design Engineer to lead  cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. 

This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who you are

• BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes.
• Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs.
• Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows.
• Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independently.

What we need

• Lead and contribute to cross-functional efforts solving complex physical design challenges across IPs, projects, and advanced technology nodes.
• Develop and enhance RTL-to-GDS methodologies, including floorplanning, synthesis, P&R, STA, signoff, and assembly.
• Architect and deploy AI/ML-driven solutions in production flows to improve engineering efficiency, turnaround time, and QoR.
• Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques, in close collaboration with verification, extraction, timing, DFT, and EDA vendors.

What you will learn

• How to scale AI/ML-driven methodologies across diverse products and advanced technology nodes in real production flows.
• New ways to blend classical EDA algorithms with modern ML techniques to push PPA and runtime limits.
• Best practices for deploying, validating, and monitoring ML models in production CAD environments.
• How to influence next-generation ML-enabled EDA tools and collaborate deeply with cross-functional teams (PV, extraction, timing, DFT).

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

At Tenstorrent, we build computers for AI, and the developers shaping its future.

Our high-performance RISC-V CPUs, modular chiplets, and scalable compute systems give developers full control at every layer of the stack, at any scale from a single-node experimentation to data center-scale deployment.

We believe in an open future. Our architecture and software are designed to be edited, forked, and owned. Our team of engineers, dreamers, and first-principle thinkers is redefining how hardware and software converge to accelerate innovation.

As part of a new organization focused on experience, we need engineers for our Developer Relations team that deeply understand developers’ trials , tribulations, and wins. While you’ll certainly build on Tenstorrent hardware and software, your focus will be on working with developers directly online and at in person events. You'll meet developers where they are, understand their needs, and partner with them to manifest an open future we can all be proud of. 

This role is remote, but you're welcome to work from one of our offices if you're nearby. We encourage candidates of all experience levels to apply. Your interview will determine the best fit, and offers will reflect that assessment.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Inspire developers and builders to reach their goals using tools well-suited to their needs.
• Are comfortable talking to developers online, on stage, or in written content developed to connect, instruct, and inspire.
• Explore how AI can augment and enhance your development capabilities and want to share your experience to empower the developers of today and tomorrow.

What You Bring 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience managing developer communities.
• Strong skills across multiple parts of a developer’s stack.
• Passion about AI and compute.
• Fluency with open source development practices and tools, e.g., Git, GitHub, CI, VSCode.

What You Will Learn

• Foster meaningful interactions online and offline between Tenstorrent and developers.
• Partner closely with Comms and Marketing to ensure narrative alignment.
• Initiate and nurture VIP dev relationships that scale trust, not just reach.
• Monitor discussions and sentiment within community channels, identify key trends, opportunities, and blocks.
• What you don’t know while working with a team of enthusiastic operators of varying experience levels.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

At Tenstorrent, we build computers for AI, and the developers shaping its future.

Our high-performance RISC-V CPUs, modular chiplets, and scalable compute systems give developers full control at every layer of the stack, at any scale from a single-node experimentation to data center-scale deployment.

We believe in an open future. Our architecture and software are designed to be edited, forked, and owned. Our team of engineers, dreamers, and first-principle thinkers is redefining how hardware and software converge to accelerate innovation.

As part of a new organization focused on experience, we need engineers for our Developer Relations team that deeply understand developers’ trials , tribulations, and wins. You'll build, present, and contextualize the tools, demos, and interfaces developers need to navigate and fully utilize Tenstorrent hardware and software. You'll meet developers where they are, understand their needs, and partner with them to build an open future. 

This role is remote, but you're welcome to work from one of our offices if you're nearby. We encourage candidates of all experience levels to apply. Your interview will determine the best fit, and offers will reflect that assessment.

Who You Are

• Passionate tool builder. You're comfortable creating things developers love to use  like command-line utilities, SDKs, dashboards, service integrations, content management systems, and microsites. 
• Curious and explore how AI can augment and enhance your development capabilities. 
• Want to share that experience to empower today's and tomorrow's developers. 
• Believe that being open is a key advantage and wayfinder in how to act and what to do next.

What We Need

• A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• A proven track record building great experiences for a developer audience.
• Strong skills across multiple parts of a developer’s stack.
• Fluency with open source development practices and tools, for example, Git, GitHub, CI, VSCode.
• Strong product instincts.
• Interest and experience working at varying levels of the AI engineering stack.

What You Will Learn

• Build web-based tools, demos, and playgrounds, letting developers explore our offerings.
• Translate complex platform capabilities into intuitive user and developer experiences. We improve the developer experience by reducing friction and improving education throughout.
• Partner closely with Marketing, Creative, Engineering, and Product to connect narrative with function.
• Advocate for seamless UX, from box to screen.
• The state-of-the-art in AI inside a growing, international community of open computing enthusiasts.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is seeking an experienced Field Application Engineer to champion our revolutionary RISC-V CPU and AI accelerator IP products with customers worldwide. You will own end-to-end technical engagements, translating complex architectural advantages into customer wins while shaping our product roadmap through direct market feedback. If you combine deep technical expertise with exceptional customer engagement skills and want to drive the adoption of next-generation compute IP, join our team.

This role is hybrid, based out of the United States or Canada near one of our main office locations.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A customer-focused engineer with proven success in CPU/GPU/NPU IP sales engagements.
• Technical expert who can articulate complex architectural benefits and conduct deep-dive analyses.
• Self-driven professional who independently manages multiple customer relationships from discovery to win.
• Strategic thinker who identifies customer pain points and positions solutions effectively.

What We Need

• 7+ years in the semiconductor industry with a degree in EE or related field including customer-facing roles in CPU IP.
• Hands-on expertise with ASIC design flows, IP integration, and relevant design views (.lib, LEF, ICL, PDL).
• Deep technical knowledge of CPU architectures, semiconductor technologies, and system-level design.
• Exceptional presentation and communication skills with ability to engage all organizational levels.
• Proven track record of technical wins and managing multiple simultaneous accounts.

What You Will Learn

• How to position cutting-edge RISC-V and AI accelerator IP against industry incumbents.
• Advanced customer engagement strategies for complex technical sales in the semiconductor industry.
• Direct influence on product development through customer feedback and market insights.
• The complete IP business cycle from evaluation through design win and production success.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is seeking a SoC Physical Design Verification Engineer to drive full-chip signoff and ensure manufacturable, high-quality silicon across advanced technology nodes. You’ll lead physical verification closure (DRC, LVS, ERC, etc.), debug issues using standard industry PV tools, and collaborate across RTL, PD, CAD, and packaging teams to achieve successful tapeouts. If you thrive in a fast-paced environment and enjoy solving complex challenges in cutting-edge silicon, we’d love to hear from you.

This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A seasoned engineer with a strong background in CPU/IP/SoC physical verification and tapeout closure.
• A hands-on problem solver who excels at debugging and driving signoff through complex verification flows.
• A collaborative team player who works effectively across RTL, PD, CAD, and foundry interfaces.
• A mentor and technical leader passionate about building efficient, manufacturable silicon.
  
  

What We Need

• BS/MS in Electrical/Electronics Engineering (or related) with 7–14 years of hands-on CPU/IP/SoC physical verification experience.
• Proven expertise in DRC, LVS, ERC, PERC, Antenna, and DFM verification using industry-standard tools and flows (Calibre, ICV, Pegasus, FC, Innovus, etc.).
• Strong background in ESD planning, padring integration, bump/RDL strategies, and reliability analysis (IR drop, EM), with solid understanding of advanced nodes (7nm, 5nm, 3nm) and FinFET design challenges.
• Scripting proficiency in Python and TCL for automation and flow optimization.

What You Will Learn

• Advanced physical verification methodologies and flow optimization for next-generation SoCs.
• Integration and verification strategies for full-chip signoff across advanced process technologies.
• Cross-functional collaboration across design, CAD, and foundry teams to ensure flawless tapeouts.
• Leadership and mentoring opportunities in building scalable PV methodologies and automation.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country.