The application window will be open until at least April 17, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

At GFiber, our Information Systems and Technology team plays a crucial role in enhancing employee productivity and efficiency across all departments. We are dedicated to delivering quality support while fostering a strong business partnership and ensuring seamless project deliverables. Together,  we focus on delivering innovative solutions that empower our colleagues and drive the organization forward.

Role Description

As a Senior IT Systems Engineer, you will architect and maintain the digital workspace our employees rely on daily. This role oversees the entire lifecycle of corporate applications, from end-to-end deployment and configuration to automated patching and long-term administration. You will manage our Google Workspace environment and support critical office technology, including multi-vendor networking, conferencing, and advanced printing solutions. While possessing deep expertise in software application engineering, you will maintain a robust foundation in full device management to ensure secure and seamless delivery across macOS, Windows, and ChromeOS platforms.

In this role, you'll:

• Manage the enrollment, security posture, and compliance of macOS, Windows, and ChromeOS devices using Microsoft Intune, Google Workspace, and Kandji/Iru to provide a stable platform for application delivery.
• Architect the end-to-end deployment, configuration, and proactive patching strategies for the corporate productivity suite. This includes leading the rollout of new enterprise solutions from initial environment setup through to ongoing maintenance and optimization.
• Deploy and provide advanced support for office technology, including LAN/Wi-Fi networking, Google Meet conferencing/AV systems, and enterprise printing hardware and software.
• Perform administration, strategy, and security hardening for Google Workspace, including advanced mobile device management for Android/iOS and Google Meet integrations.
• Utilize advanced scripting (Python, PowerShell, or GAM) to automate software packaging, agent rollouts (e.g., CrowdStrike, CatchPoint), and system-wide compliance remediation.
• Collaborate with cross-functional stakeholders and vendors to understand business needs and implement scalable software and hardware solutions that streamline corporate operations.

At a minimum we'd like you to have:

• Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent practical experience.
• 8 years of experience as a Systems Engineer in an Enterprise Corporate IT environment.
• 5 years of experience managing Google Workspace at an enterprise level, overseeing Application Lifecycle Management (packaging, deployment, patching), and supporting office networking (Wi-Fi, LAN).
• Experience managing macOS/Apple MDM tools (e.g., Kandji/Iru) and Microsoft Intune.
• Experience deploying applications on premise or software as a service (SaaS). 

It's preferred if you have:

• Professional Google Workspace, Apple, or Microsoft Endpoint related certifications.
• Experience configuring Okta or Entra ID for SAML federation, SSO, and automated user provisioning.
• Experience working with Python, PowerShell, and GCP Cloud CLI for advanced systems automation and API-driven integrations.
• Experience delivering complex technical projects within an Agile environment (e.g., Scrum).
• Ability to use written and verbal communication to explain complex architectural fixes and technical concepts to both technical and non-technical audiences.

The US base salary range for this full-time position is between $136,000 - $169,000 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

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.

About Skyloom 

Skyloom, an IonQ company, is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete, or if working on space lasers excites you, join our team to develop the future generation of space communication technology.

Skyloom is building the orbital infrastructure for the next renaissance in global connectivity. As Earth’s first space-based telecommunications company, we deliver fiberless, planetary-scale data transport that dramatically increases bandwidth, availability, and resiliency—while reducing latency and total cost of operations.

Our proprietary optical technology enables secure, ultra-high-capacity connections across our end-to-end, multi-orbit network or within your own infrastructure, unlocking a new standard for global communications.

Location: This role will be onsite in our Broomfield, Colorado office. 
Travel: Up to 5%
Job ID:  1516

The Role

At Skyloom, we’re building cutting-edge optical communication systems for space. We’re looking for an Electrical Engineer with a strong hands-on mindset to help test, debug, and validate electronic assemblies (PCBA and Card Circuit Assembly) across development and production.

This role is ideal for an engineer who enjoys working in the lab, solving real hardware problems, and collaborating across disciplines. Experience with complex electronic systems is key, deep aerospace or space background is a plus, but not required.

You’ll work closely with hardware, firmware, optical, manufacturing, and test teams to bring advanced electronic systems from prototypes to flight-ready production.

Responsibilities: 

Hardware Test & Debug

• Test and debug PCBAs and electronic subsystems, including multi-board systems.
• Perform functional and performance testing during development, qualification, and production.
• Support hardware bring-up and troubleshooting using lab instrumentation.

Validation & Production Support

• Verify electrical and functional requirements.
• Support design verification and production acceptance testing.
• Help identify root causes of failures and support corrective actions.
• Contribute to test procedures, acceptance criteria, and production documentation.

Interfaces & Signal Integrity

• Test and validate common communication interfaces (Ethernet, SPI, I²C, UART, etc.).
• Assist with debugging signal integrity issues in high-speed or mixed-signal designs (e.g., SERDES-based links, LVDS, etc.).

Collaboration

• Work cross-functionally with hardware, firmware, optical, manufacturing and AIT teams.
• Support environmental testing activities (thermal, vibration, etc.) as needed.
• Collaborate with international partners to support system integration and testing.

Requirements: 

• Bachelor’s degree in Electrical Engineering or related field.
• 3-6 years of relevant experience (flexible depending on skill set).
• Solid foundation in electrical engineering fundamentals (digital, analog, or mixed-signal).
• Hands-on experience testing or debugging electronic hardware.
• Comfort working in a lab environment using standard test equipment (oscilloscopes, power supplies, logic analyzers, etc.).
• Experience with PCBAs, prototypes, or production hardware.

Preferred Qualifications: 

• Experience in aerospace, defense, or other regulated industries.
• Exposure to optoelectronics, RF, or communication systems.
• Basic scripting or embedded programming (Python, C/C++ or similar languages).
• Interest in growing into more complex system-level testing or aerospace testing roles.
• Lab environment use, such as, power meter and optic spectrum analyzer. 
• Fluency in Spanish with strong written and verbal communication skills.

Compensation 

The approximate base salary range for this position is $110,000 - $115,000. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.   

**Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**

About Skyloom 

Skyloom, an IonQ company, is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete, or if working on space lasers excites you, join our team to develop the future generation of space communication technology.

Skyloom is building the orbital infrastructure for the next renaissance in global connectivity. As Earth’s first space-based telecommunications company, we deliver fiberless, planetary-scale data transport that dramatically increases bandwidth, availability, and resiliency—while reducing latency and total cost of operations.

Our proprietary optical technology enables secure, ultra-high-capacity connections across our end-to-end, multi-orbit network or within your own infrastructure, unlocking a new standard for global communications.

Location: This role will be onsite in our Broomfield, Colorado office. 
Travel: Up to 5%
Job ID:  1434

The Role

We seek a Mechanical Engineer to manage the complete design of aerospace components and subsystems. You will collaborate with structural, thermal, and control engineers to develop hardware meeting performance, mass, and environmental standards. Your role includes translating concepts from sketches to CAD to space-qualified products within the Thermo-Mechanical Team.

Responsibilities

• Lead the mechanical design of components, enclosures, and assemblies for space applications.
• Create detailed 3D CAD models and 2D manufacturing drawings with appropriate GD&T, using CAD software.
• Improve drive design for weight, stiffness, manufacturability, and ease of integration.
• Collaborate with other disciplines—mainly thermal, structural analysis, control, electronic, and optics subsystems—to ensure system-level requirements are met.
• Support integration, manufacturing, and assembly, including interactions with suppliers and participating in design reviews.
• Procure mechanical parts from COTs or use manufactured components.
• Assist in prototype builds, fit checks, and environmental testing (vibration, TVAC, thermal cycling).
• Manage configuration control and documentation throughout the design lifecycle.
• Contribute to or participate in PDR/CDR reviews and technical trade studies.

Required Qualifications

• Mechanical Engineering, Aerospace Engineering, or a related engineering discipline
• 3-6+ years of experience in mechanical design, ideally in aerospace or high-performance hardware.
• Advanced proficiency in CAD tools (NX, SolidWorks, or equivalent), working with complex assemblies.
• Strong understanding of materials, tolerancing, and manufacturing processes (CNC, sheet metal, composites, additive manufacturing).
• Familiarity with design for manufacturability principles and mechanical interfaces.
• Proficiency with GD&T standards, ISO or ASME
• Basic understanding of thermal and structural considerations in space hardware.
• Experience collaborating with various disciplines.
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Skyloom employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here.

Preferred Qualifications

• Experience designing space mechanisms (deployment systems, actuators, or hinges).
• Hands-on experience with testing, integration, or cleanroom assembly.
• Competence in FEM for structural analysis and a solid understanding of static and dynamic analysis.
• Knowledge of ECSS/NASA standards for mechanical design and verification.
• Basic scripting (Python, MATLAB) for data processing.
• Familiarity with PLM and ERP tools
• Spanish proficiency

The approximate base salary range for this position is $110,088 - $122,321. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.   

**Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**

Location: This role is based at our Louisville, CO office with the option to work a few days a week remotely. 
Travel: Up to 5%
Job ID: 1569

The Role

As the Senior Manager of Flight Software at Capella, you will lead the team responsible for developing and maintaining the software that runs Capella’s satellite fleet in space. You will oversee the full flight software organization, supporting mission-critical development and on-orbit operations across multiple programs. In this role, you will set the technical direction and execution strategy for flight software, while building and scaling a high-performing engineering team. You’ll partner closely with electrical, FPGA, systems, and ground software teams to deliver robust and reliable spacecraft software. This position offers the opportunity to shape the future of Capella’s flight software architecture, drive engineering excellence, and ensure consistent delivery of high-quality software across the fleet.

Responsibilities

• Lead and manage the flight software engineering team, including hiring, onboarding, performance management, and career development.
• Own the overall technical direction, architecture, and execution strategy for flight software across programs.
• Ensure consistent delivery of high-quality, mission-critical software for on-orbit and pre-launch systems.
• Drive and uphold engineering best practices, including code reviews, automated testing, documentation, and design reviews.
• Collaborate with cross-functional leaders to align software development with system-level requirements and mission goals.
• Oversee software planning, roadmap development, and prioritization across multiple efforts.
• Support and guide architectural decisions, trade studies, and long-term technical investments.
• Maintain strong visibility into program execution, proactively identifying risks and ensuring timely delivery of milestones.
• Foster a culture of ownership, accountability, and continuous improvement within the team.
• Contribute to strategic planning and organizational growth as Capella scales.

Qualifications

• Bachelor's degree in computer science, computer engineering, electrical engineering, or a related field (advanced degree preferred).
• 10+ years of experience in software engineering, with 2+ years managing or leading engineering teams (embedded or aerospace preferred).
• Strong background in real-time embedded systems, including bare-metal, RTOS, and Linux environments.
• Proficiency in C and C++ (C++ experience highly preferred); experience with scripting languages such as Python or shell scripting.
• Experience defining system architecture and technical strategy.
• Familiarity with embedded Linux, Linux kernel modules, and development tools.
• Experience with microcontrollers and SoCs (e.g., Xilinx Zynq) and hardware/software integration.
• Strong communication and leadership skills, with the ability to align cross-functional teams and drive execution.
• Working knowledge of modern software development practices including Git, CI/CD, and automated testing.

Required Qualification

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Capella Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here.

Compensation 

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base salary, bonus, equity, and a range of benefits available on our career site. 

We are looking for a Senior Mask Layout Engineer on the Fab Tapeout and Validation Team. As a Senior Mask Layout Engineer, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. 

In this role, you will be the owner of full-reticle tapeouts for use in trapped-ion quantum computers, which could include both photonic and analog electronic layers. In addition, you will help develop and maintain the internal PDK and circuit layout libraries, as well as write scripts to automate the layout of masks for tapeouts. You will also have the opportunity to work closely with the photonic and ion trap design and testing teams to help develop new and game-changing quantum technology to enable scalable quantum computing, memory, and networking.

The Fab Tapeout and Validation Team is a remote-friendly team and this role can be performed remotely or in-person at IonQ’s College Park, MD or Bothell, WA campuses. 

Responsibilities:

• Conduct Python-based layout for full-reticle tapeouts with commercial foundries
• Develop and maintain internal component PCell and automated circuit layout libraries
• Interface with designers, test engineers, packaging engineers, and foundry team to define layout rules and component designs 
• Implement physical verification checks of layouts, including DRC and LVS
• Develop detailed documentation of tapeouts and lead layout reviews with other team members 
• Work with cross-functional teams to understand circuit requirements and make recommendations to improve design, layout, and test workflows

You’d be a good fit with:

• Bachelor’s degree in Photonics, Physics, Electrical Engineering, or related field, or equivalent practical experience
• Knowledge of semiconductor manufacturing processes and techniques
• Excellent programming and software skills, including development in an IDE, proficiency with version control software, shell scripting, and code documentation
• 2+ years of experience with Python-based mask layout software packages such as Luceda IPKISS, GDSFactory, or Klayout
  
  

You’d be a great fit with:

• M.S. or Ph.D. in Photonics, Physics, Electrical Engineering, or related field
• 5+ years experience in generating layout files for complex semiconductor flows with custom elements, such as MEMS, integrated photonics, or superconducting circuits
• Past ownership of full-reticle tapeouts with commercial foundries
• Experience with commercial simulation, verification, and layout environments such as Synopsys, Cadence, and Ansys
• Familiarity with photonic and/or analog electronic device principles including design, test, and fabrication
• Proficiency in physical verification including DRC, LVS, and ERC
• Experience with semiconductor and/or photonic workflows for tapeout with commercial foundries
• Excellent verbal and written communication skills
• A meticulous attention to detail and excellent track record of documenting requirements, implementation plan, and tracking progress
• Ability to work independently, prioritizing tasks and managing time effectively in a deadline-oriented environment

Location: The Fab Tapeout and Validation Team is a remote-friendly team and this role can be performed remotely or in-person at IonQ’s College Park, MD or Bothell, WA campuses. 
Travel: Up to 10%
Job ID: 1303

The approximate base salary range for this position is $110,336 - $144,459.  The total compensation package includes base, bonus, and equity.

We are looking for a Senior Staff Software Engineer for Application Engineering. As a Sr Software Engineer on the Applications Engineer team, you’ll be part of a cross-functional team whose mission is to deliver real-world applications and value from the leap forward in computing enabled by quantum technology. 

We don't just build the world's best quantum computers - we apply cutting edge quantum computing tools to real world problems. Until now, our team of Applications Scientists have been building prototypes, working closely with our customers. Our new department, Applications Engineering, will ultimately help transform proven quantum computing use-cases pioneered by our scientists into production applications, making those innovations available to more people and businesses by packaging and deploying these tools as SaaS applications.

But first, we must mature existing proof-of-concept quantum code into production grade applications. As a hands-on team lead for a new engineering team, you will work on enhancing developer experience (DevEx) by applying best practices to research-grade code. You will also set up CI / CD pipelines, software packing tools, and pre/post flight tests for new algorithms as they go into deployment. Where possible you will also be in charge of optimizing and parallelizing traditional algorithms, to reduce pre-processing and post-processing workloads. You will spearhead a new team taking newly invented quantum applications, and turning them into well defined modules of reliable SaaS applications. Think of it as being a forward-deployed engineer for quantum computing applications; the strongest candidates will be generalists with wide-ranging interests. 

This team will work closely with Developer Tools, Infrastructure, and Product teams to solve problems by choosing the right technologies, and standardizing and automating those solutions. The right engineer will be comfortable working on refining chemistry simplification via Quantum Computing tool one quarter, and turning a novel quantum topology solver into a service the next - and love pair programming with scientists. They’ll bring the quantum expertise; you bring the deep and broad experience in classical programming.

Responsibilities:

• Partner with Application scientists to help deliver cutting-edge solutions for customers
• Elevate Applications code quality generally through architectural review, code review, standards, and best practices
• Improve Applications pace of delivery by creating CI / CD pipelines and other packaging automation, as well as test infrastructure and coverage
• Help productize computing code, especially improving data processing in pre-quantum and post-quantum processing steps
• Work closely with peers in Applications, Developer Tools, and Product teams to share best practices and feedback on internal tools
• Reporting to the Director of Application Engineering, help hire and mentor developers on the team

You’d be a good fit with:

• 12+ years of experience as a backend or full-stack developer, preferably in Python or Golang
• 5+ years of experience in setting up and maintaining CI / CD pipelines, in Github Actions, Jenkins, or similar tools
• 5+ years of experience in C/C++ or Rust
• 3+ years of experience in Docker, k8s, or similar containerization technologies
• A track record of shipping containerized applications that solve real business problems
• Previous work in scientific computing, quantum computing, or a related field
• Daily usage of augmented coding tools like Claude or Gemini 

You’d be a great fit with:

• 5+ years of experience in scientific computing, especially with data analysis using numpy, pandas, or similar
• Experience in HPC or performance optimization
• Experience in converting traditional algorithms into CUDA, OpenMP workflows, or similar parallelization experience
• Experience with workflow orchestration engines like Airflow, Dagster, or Temporal

Location: This position can work onsite or hybrid from our office in Bothell, WA; College Park, MD; or Boulder, CO
Travel: 5% for quarterly travel for collaboration 
Job ID:  1312

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

About Skyloom 

Skyloom is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete—or if working on space lasers excites you—join our team to develop the future generation of space communication technology.

Location: This role will be on-site at our Broomfield, Colorado, office. 
Travel: Up to 5%
Job ID:  1446

The Role

The System Integration & Test Engineer is responsible for executing subsystem- and system-level integration and test activities across a range of hardware and software complexities. This role ensures that individual components and fully integrated systems perform according to requirements through structured verification and validation processes.

This position requires a strong combination of hands-on testing capability, systems thinking, and software/scripting proficiency to support automated testing, data acquisition, and analysis. The engineer will work closely with electrical, mechanical, optical, and software teams to troubleshoot issues, validate performance, and improve system reliability.

Responsibilities 

•  Execute subsystem and system-level test campaigns (functional, performance, environmental, acceptance)
• Develop and execute test plans and procedures from requirements
• Support system integration across electrical, mechanical, optical, and software domains
• Troubleshoot integration and test anomalies
• Monitor and analyze test data in real time
• Develop and maintain test scripts and automation tools
• Support hardware-in-the-loop (HIL) systems
• Prepare and support TRR and TRB reviews
• Ensure documentation, traceability, and configuration control
• Improve test processes and infrastructure

Qualifications

• Experience with integration and testing of complex hardware systems
• Experience with oscilloscopes, signal generators, spectrum analyzers, power supplies, DAQ systems
• Troubleshooting of analog, digital, and mixed-signal systems
• Strong scripting skills (Python, MATLAB or similar)
• Data acquisition and analysis experience
• Ability to read schematics and engineering drawings
• Strong problem-solving and communication skills
• Bachelor’s or advanced degree in Engineering (Electrical, Mechanical, Aerospace or similar)
• Minimum 3 years of relevant experience

Preferred Qualifications

•  Experience with automated test frameworks
• Linux and embedded systems familiarity
• Requirements-to-test translation experience
• Aerospace or defense background
• Spanish language skills

Compensation 

The approximate base salary range for this position is $90,000 - $100,00. The total compensation package includes base salary, bonus, equity, and a range of benefits available on our career site.   

**Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**

About Skyloom 

Skyloom, an IonQ company, is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete, or if working on space lasers excites you, join our team to develop the future generation of space communication technology.

Skyloom is building the orbital infrastructure for the next renaissance in global connectivity. As Earth’s first space-based telecommunications company, we deliver fiberless, planetary-scale data transport that dramatically increases bandwidth, availability, and resiliency—while reducing latency and total cost of operations.

Our proprietary optical technology enables secure, ultra-high-capacity connections across our end-to-end, multi-orbit network or within your own infrastructure, unlocking a new standard for global communications.

Location: This role will be onsite in our Broomfield, Colorado office. 
Travel: Up to 5%
Job ID:  1450

The Role

We are seeking a V&V and Operations Tools Developer to design, build, and maintain the critical software infrastructure and tooling required for the early design verification, system deliveries validation, and operational monitoring of our flight systems. This role is fundamental to achieving mission assurance by automating testing, supporting complex physical testbeds involving external sensors and actuators, and facilitating early hardware/software integration.

Responsibilities 

• Develop high-quality, robust automation scripts and tools to support early hardware integration testing and interface verification.
• Apply Object- Oriented Programming(OOP) principles to design scalable and reusable software libraries for hardware interface communication and complex data acquisition from the testbed.
• Design and implement automated test sequences for health integration and performance verification of flight systems, analyzing feedback loops, sensor readings, and actuator responsiveness.
• Manage and configure the physical testbed infrastructure, including integrating and calibrating external sensors, actuators, and instrumentation required for comprehensive system testing.
• Develop and maintain the tools and framework necessary to execute Hardware-in-the-Loop (HIL) testing, including environment simulation, real-time data injection, and automated fault insertion.
• Implement minimal services to facilitate data handling, instrument control, and integration between various V&V tools in a distributed physical testbed environment.
• Utilize Docker to containerize development, testing, and V&V environments, ensuring consistency and reproducibility across the organization.
• Administer and maintain Linux operating systems that host the V&V testbeds, simulation platforms, and operational tools.
• Configure and troubleshoot networking protocols and services (TCP/IP, UDP, etc.) to ensure reliable connectivity between test equipment, flight hardware interfaces, and data centers.

Qualifications

• Systemic Mindset: Ability to view the flight system and its V&V testbed not as separate components, but as an integrated system, understanding dependencies, interfaces, and optimizing end-to-end performance.
• Python: Advanced proficiency for tool development and scripting. 
• Strong understanding and application of Object-Oriented Programming (OOP).
• Linux: Experience as user, basic administration for troubleshooting in various distributions.
• Bash scripting for system automation and pipeline execution.
• Experience with Docker for containerizing environments.
• Minimal experience designing or interacting with REST microservice.

Preferred Qualifications

• Experience with Observability Stacks (e.g., ELK/Influx/Grafana) for monitoring testbed health, data logging, and visualizing operational metrics.
• Prior experience in the validation of control software or safety-critical systems.
• Familiarity with data analysis libraries such as Pandas and plotting libraries like Matplotlib for analyzing sensor and performance data.
• Understanding of Distributed Systems architecture and challenges.
• Documentation Automation: Experience integrating documentation tools like Sphinx, Asciidoc or Markdown.

Compensation 

The approximate base salary range for this position is $114,477 - $150,248. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.  

**Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**

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

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter.

We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments.

You will:

• Manage customer relationships from the executive to the end user
• Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine
• Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives
• Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success
• Oversee onboarding and successful implementation of customer accounts

Must haves:

• An active TS/SCI clearance
• 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions
• A track record of structured, analytics-driven problem solving
• Excellent verbal and written communication skills
• Willingness to be onsite with the customer in the Colorado Springs area 4 days per week and able to travel at least 25% of the time (as needed)

We have a diverse team with a variety of skill sets, many have:

• 10+ years of professional experience, often in a customer-facing technical program management role in industry or government
• Prior experience at an API technology company and / or managing technical customers using an API
• A technical degree in computer science, engineering, or related field
• Proficiency in Python, SQL or other programming languages
• Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter.

We’re hiring a technical program manager (TPM) to lead and coordinate delivery of agentic workflows for a national security customer. As a TPM on our public sector delivery team, you will support a large account plan, develop a technical roadmap with end user input, and partner with an engineering lead to ensure effective technical delivery. This role is ideal for someone who has deep curiosity about end user pain points, loves rapid prototyping, and wants to work in a fast-paced, ambiguous, and mission-driven environment. 

You will:

• Drive innovation and transformation by diving deep into technical and operational challenges unique to government use cases
• Develop a program-level technical roadmap for transitioning generative AI technologies and processes into prototypes and working products even when requirements are undefined or ambiguous
• Partner with Scale engineering, operations, and other public sector teams to build and deliver impactful agentic AI solutions

Must haves:

• An active TS/SCI clearance
• 5+ years of work experience leading technical teams in industry or government 
• A technical background (education or professional experience with computer science or engineering)
• A deep understanding of ML operations process
• A track record of structured, analytics-driven problem-solving
• Excellent verbal and written communication skills
• Willingness to be onsite with the customer in the Colorado Springs area 4 days per week and able to travel at least 25% of the time (as needed)

We have a diverse team with a variety of skill sets, many have:

• 10+ years of professional experience, often in a customer-facing technical program management role in industry or government.
• Proficiency in Python, SQL or other programming languages
• A proven track record in B2B client facing roles and expanding client relationships
• Prior experience delivering technical solutions to government customers
• Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)

Job Summary:

Docketly is an appearance counsel provider. We match local attorneys with large firms in need of coverage for short, procedural hearings nationwide. We are seeking a Verification Data Entry Specialist who can help ensure the accuracy and quality of hearing information before it is shared with our attorney network. Our culture is casual, open, and direct. We support independent thinking and it’s important to us that we support employee growth so you can do your best work every day. This position is full-time in Docketly's HQ Office in Longmont, Colorado. 

Responsibilities and Duties:

• Review and verify hearing information for accuracy before publishing to our attorney network
• Compare details from multiple sources to ensure consistency and completeness
• Accurately document and confirm hearing data, attachments, and related materials
• Send out verified hearing schedules and links to attorneys
• Respond to tickets and basic customer service inquiries, offering simple tech troubleshooting when needed
• Maintain a consistent pace of verification, meeting and exceeding daily and weekly targets
• Communicate clearly and ask questions when clarification is needed

Qualifications and Skills:

• 2 years' experience in data verification, customer service, tech support, or a similar role
• Exceptional attention to detail and accuracy
• Comfortable with repetitive tasks and maintaining focus in a fast-paced environment
• Basic troubleshooting experience

Preferred

• Exposure like Claude, Codex, and OpenAI Platform are a plus. Any experience in SQL, Python, Java a plus

People who should apply for Verifications Specialist are:

• Eager to grow with a rapidly-scaling business
• Comfortable in a fast-paced environment
• Detail Oriented and confident navigating multiple systems
• Strong communicators who enjoy problem solving and teamwork
• Motivated to identify and prevent errors before they happen
• No legal experience required!

Benefits:

• Health, Dental, Vision insurance
• 401(k) with company matching
• Paid time off
• 7 Paid company holidays
• 4 Floating holidays per-year
• Life Insurance and AD&D Insurance
• Long Term Disability
• Health Care Reimbursement Flexible Spending Account
• Dependent Care Flexible Spending Account
• EAP (Employee Assistance Program)
• Pet Insurance

Job Type: Full-time, 

Pay: $20.00 - $20.00 per hour

Schedule: Monday through Friday, this position is full-time in Docketly's HQ Office in Longmont, Colorado. 

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

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 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

About the opportunity

We are looking for a Data Scientist who will turn data into insights and build models that drive meaningful business outcomes. You will work closely with cross-functional stakeholders to understand problems, design analytical solutions, and deploy data products that scale.

What to expect?

• Collect, clean, and analyze structured and unstructured data.
• Develop predictive models, statistical analyses, and machine learning algorithms.
• Build dashboards, reports, and data visualizations to communicate insights.
• Collaborate with engineering to deploy models into production environments.
• Perform exploratory data analysis (EDA) to identify trends and opportunities.
• Conduct A/B testing and design experiments to measure feature performance.
• Document methodologies and ensure reproducibility of analytical work.
• Contribute to end-to-end machine learning workflows, including model training,  validation, and deployment, working with established tools and patterns and with support from engineering.
• Monitor model performance and data quality, and update models as needed.

What do you need to be successful?

Required

• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Strong proficiency in Python (pandas, scikit-learn, NumPy).
• Experience using SQL to work with analytical databases and data warehouses.
• Solid understanding of statistical modeling, model evaluation, and experimental methods.
• Familiarity with machine learning techniques (regression, classification, clustering, etc.).
• Hands-on experience building and running machine learning models in production or production-like environments.
• Experience building dashboards with tools like Tableau, or similar.
• Strong analytical and problem-solving skills.
• Ability to balance analytical rigor with practical delivery.
• Excellent communication skills with the ability to translate data insights into business actions.

Preferred    

• Familiarity with workflow orchestration or model lifecycle tools (e.g., Airflow, MLflow) at a practical, working level.
• Implement practical model deployment approaches (e.g., batch inference, scheduled retraining) using existing team tools and patterns.
• Experience with cloud platforms (AWS, or similar).
• Knowledge of ML Ops tools (MLflow, Airflow, or similar).
• Exposure to big data technologies (Redshift, Snowflake).
• Experience working in agile environments.

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: $136,000-$184,000

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.

Job Summary:

Docketly is an appearance counsel provider. We match local attorneys with large firms in need of coverage for short, procedural hearings nationwide. We are seeking a Verifications Specialist who can help ensure the accuracy and quality of hearing information before it is shared with our attorney network. Our culture is casual, open, and direct. We support independent thinking and it’s important to us that we support employee growth so you can do your best work every day. This position is full-time in Docketly's HQ Office in Longmont, Colorado. 

Responsibilities and Duties:

• Review and verify hearing information for accuracy before publishing to our attorney network
• Compare details from multiple sources to ensure consistency and completeness
• Accurately document and confirm hearing data, attachments, and related materials
• Send out verified hearing schedules and links to attorneys
• Respond to tickets and basic customer service inquiries, offering simple tech troubleshooting when needed
• Maintain a consistent pace of verification, meeting and exceeding daily and weekly targets
• Communicate clearly and ask questions when clarification is needed

Qualifications and Skills:

• 2 years' experience in data verification, customer service, tech support, or a similar role
• Exceptional attention to detail and accuracy
• Comfortable with repetitive tasks and maintaining focus in a fast-paced environment
• Basic troubleshooting experience

Preferred

• Exposure like Claude, Codex, and OpenAI Platform are a plus. Any experience in SQL, Python, Java a plus

People who should apply for Verifications Specialist are:

• Eager to grow with a rapidly-scaling business
• Comfortable in a fast-paced environment
• Detail Oriented and confident navigating multiple systems
• Strong communicators who enjoy problem solving and teamwork
• Motivated to identify and prevent errors before they happen
• No legal experience required!

Benefits:

• Health, Dental, Vision insurance
• 401(k) with company matching
• Paid time off
• 7 Paid company holidays
• 4 Floating holidays per-year
• Life Insurance and AD&D Insurance
• Long Term Disability
• Health Care Reimbursement Flexible Spending Account
• Dependent Care Flexible Spending Account
• EAP (Employee Assistance Program)
• Pet Insurance

Job Type: Full-time, 

Pay: $20.00 - $20.00 per hour

Schedule: Monday through Friday, this position is full-time in Docketly's HQ Office in Longmont, Colorado. 

Location: Remote (For Non-Local) or Hybrid (Local to NYC area)

Position Summary:

Join our mission to transform our nation's healthcare system as a Senior Full-stack Software Developer. In this role you will assist in leading projects from design to delivery. Partner with product managers and designers to define requirements during discovery and planning. Collaborate with developers to deliver those requirements on time as new features or improvements to existing functionality. 

Why You’ll Love Working Here 

• We have a remote-first culture.
• You will make a tangible impact on society. Your code will directly improve healthcare experiences for millions.
• We are a late-stage startup with stability. We have startup energy with a focus on delivery, but healthy processes with a strong financial outlook that provides a sense of security. 

Position Responsibilities

In this role, you’ll combine technical leadership with hands-on coding to build scalable, high-impact healthcare technology. You will: 

• Exercise leadership over features from design to delivery. 
• Be a partner to product, design, and quality assurance team members. 
• Become a subject matter expert on your team’s products. 
• Provide technical support to cross-functional team members and stakeholders. 
• Expand Judi, our web-based enterprise health platform, using Python, AWS services, React/Typescript, and other technologies. 
• Work in an Agile/Scrum environment. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Preferred Qualifications

We’re looking for someone who brings a mix of technical expertise, problem-solving ability, and collaborative spirit: 

• 7+ years of job-related experience. 
• Desire to work at a health tech company. 
• Strong Python (Flask / SQLAlchemy) and React / Typescript experience. 
• Advanced PostgreSQL database knowledge (e.g., common table expressions, windowing functions, views, stored procedures, full-text or geospatial indexing). 
• Experience with infrastructure as code using AWS, Terraform, or similar technologies. 
• Experience writing unit and integration tests. 
• Git expertise and experience working in a mono repo. 
• Able to demonstrate agency, urgency, and ownership over delivering quality work. 
• Strong written and verbal communication skills. 
• Previous Pharmacy Benefits Manager (PBM) experience is a plus. 

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

As a Senior Systems Operations Engineer at Spire, you will be responsible for ensuring that on-orbit mission operations meet and sustain technical and service-level objectives. You will serve as the technical link between the development and operations phases of the mission lifecycle, ensuring that the constellation behaves as expected and that any deviations are rapidly understood, assessed, and resolved with sound engineering judgment.  

This role is central to Spire’s strategy to deliver scalable, reliable, and technically assured services using model-based engineering and validated asset profiles. Your work will ensure that decisions affecting constellation performance are made with technical insight.  

Role Responsibilities:  

• Own the technical quality of mission operations during the on-orbit service period, ensuring Service Level Agreements (SLAs) are well defined, monitored, and maintained. 
• Assess and design strategies to address underperformance, providing detailed technical insight and coordinating resolution strategies in collaboration with Systems Engineering, Mission Design, and SRE. 
• Define and manage the high-level structure and performance requirements of asset profiles, ensuring they accurately represent mission needs and provide a clear basis for verification. Work with System Owners and SMEs to ensure subsystem capabilities are properly characterised, and with SREs to ensure ongoing validation of in-orbit performance. 
• Bridge the gap between Systems Engineering, Mission Design, Program Management, Customer Service, and SRE by providing technical leadership during the mission service period. Define the tooling and functional monitoring needs that enable the SRE team to maintain constellation health and respond effectively to deviations. 
• Support SRE, Platform, and Customer Service leads in triaging constellation or satellite issues that deviate from nominal asset profile definitions, ensuring escalation paths and responses are technically justified. 
• Act as a technical reviewer and contributor during Mission Readiness Review (MRR) and pre-launch handover, ensuring operational teams are equipped with validated, well-understood assets and clearly defined expectations for mission performance. 
• Identify operational risks and propose mitigations related to in-orbit performance, platform limitations, or evolving CONOPS. 
• Ensure technical consistency and justification for on-orbit changes such as mode transitions, re-tasking, or adjustments to duty cycles or resource allocations. Lead the rollout of complex fleet-wide changes when CONOPS are being updated, ensuring risks and dependencies are managed. 
• Collaborate across SRE, Platform, and Systems teams to codify lessons learned into reusable operational standards, documentation, and improved design practices for future missions. 
• Derive and maintain Operational Requirements by helping project teams translate mission and system-level requirements into operational-level non-functional requirements (SLOs, latency, freshness, availability), with verification methods and traceability. 
• Support configuration control during service, helping manage the versioned operational baseline (limits, parameters, tasking configurations) and working with SREs, System Owners, and Customer Service to prevent configuration drift across the fleet. 
• Support the definition and coverage of FDIR (Fault Detection, Isolation, and Recovery) logic, ensuring coverage against top failure modes and reducing residual operational risk over time. 

Basic Qualifications:  

• BSc in Aerospace Engineering, Systems Engineering, Computer Science, or other relevant technical discipline. 
• 3+ years of experience in system performance monitoring, root cause analysis, and anomaly resolution. 
• Solid understanding of space system behaviour on orbit, including thermal dynamics, power management, RF communications, and tasking impacts. 
• Ability to translate system-level engineering context into clear operational guidance and tooling requirements. 
• Familiarity with SLA-driven architectures, system observability, and mission assurance principles. 
• Clear communication skills to align stakeholders across engineering, operations, and customer delivery. 
• Familiarity with software tools and frameworks used in operations, including strong Python, SQL skills and GitHub-based workflows. 

Preferred Qualifications:

• 3+ years of experience supporting operations of multi-satellite constellations. 
• Knowledge of asset profiling approaches and system models (including fault profiles, mode transitions, and performance boundaries). 
• Understanding of ground-segment tooling, SRE practices, or telemetry/telecommand systems. 
• Experience working with cross-functional, multi-time zone teams across engineering and operations. 
• Background in satellite mission design, including the transition from development to operations. _LI-MK1

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. _LI-MK1

We are seeking talented operations and intelligence professionals experienced in the Palantir platform to join our team. As a Field Service Representative (FSR) Analyst, you will be on the front lines assisting Palantir’s implementation teams to support and strengthen the unique partnerships with Palantir's client’s user base. You will work side-by-side with analysts to train and mentor users, test and troubleshoot technical issues, develop new Palantir use cases, all while solving unique and challenging problems. This may take the form of embedding with users across the world as well as downloading your insights directly with Palantir team members in our offices. Lastly, you will help facilitate collaboration across a global enterprise while ensuring our customers' continued success. Come help solve the world’s hardest problems.

Core Responsibilities

• Provide desk-side training to analysts
• Train analysts/operators in a classroom setting
• Embed with user groups to deeply understand workflows
• Proactively develop relationships with users at customer site and surface use case gaps
• Build initial dashboard products and assist users with building questions
• Remain current and up to date on latest platform features and capabilities
• Staff the Help Desk by responding to user requests and work with the Palantir engineering team to troubleshoot issues
• Provide timely and detailed feedback to the Palantir engineering team about product
• Consistently communicate product or user issues to the Palantir team

What We Value

• Prior experience with Palantir platforms required (i.e. Palantir Foundry, Gotham, Gaia, etc.). Recent and in-depth hands-on experience with Palantir platforms highly preferred.
• Military/Special Operation/Law Enforcement experience is highly preferred
• Experience briefing high-level military stakeholders is highly preferred
• Experience fusing intelligence capabilities in support of operations
• Technical background with working knowledge of Python, Java, and/or JavaScript/typescript
• Strong communication skills with the ability to break down, explain, and demonstrate complex concepts in an easy-to-understand manner
• Ability to work independently and as part of a team
• Ability to travel domestically and internationally 25% of the time if needed

What We Require

• (As required by U.S. Government contract) U.S. citizenship
• (As required by U.S. Government contract) TS/SCI or above clearance eligibility

Meet Slingshot 

At Slingshot Aerospace, we're on a mission to make space safer and more secure for everyone. Our work directly impacts global security, disaster response, climate monitoring, and the critical infrastructure that connects our world. We're a team of builders, thinkers, and problem-solvers who believe that the next generation of space operations will be powered by better data and smarter software. We move fast, we're not afraid to fail, and we believe the best ideas can come from anywhere—whether you're in engineering, sales, product, or operations. If you want to work on something that truly matters, with people who care deeply about the impact we're making and help shape the future of an industry that's just getting started, you're in the right place. 

What You’ll Be Launching 

As a member of Space Surveillance Research and Development (R&D) technical staff, you will support Slingshot’s efforts to accelerate the security, safety, and sustainability of space via the detection, tracking, identification, and characterization of satellites and space debris. This work will include a subset of (i) designing sensing systems for space surveillance applications; (ii) development of software/hardware interfaces for ground- and space-based gimbaled and non-gimbaled sensor systems, (iii) development of state-of-the-art detection, calibration, and mount control algorithms; (iv) modeling, simulation, and analysis of sensor network capabilities; and (v) development of robust software to process data from ground- and space-based SDA sensors. This role requires Top Secret clearance with SCI eligibility.

We're building a team of sharp, creative people who love solving hard problems. We value curiosity over ego, initiative over waiting for permission, and people who genuinely care about doing great work. Bring your expertise, your fresh ideas, and your drive—we'll bring the rocket fuel. 

Your Mission (Should you choose to accept it)  

• Execute all position responsibilities in alignment with Slingshot’s core values, mission, and purpose 
• Develop algorithms and software to help automate and enhance sensor data tasking, collection, processing, exploitation, and dissemination
• Perform system-level design, simulation, and integration of hardware components to create cutting-edge space surveillance systems
• Support ongoing and future transitions of Slingshot’s products and services to the Slingshot Global Sensor Network (SGSN), space operations centers, and other technology testbeds
• Engage with customers and stakeholders to ensure successful outcomes for their mission-critical needs
• Contribute your expertise and ideas to help shape our products and strategies
• Prepare technical reports and briefing materials
• Represent your team and Slingshot to a broader audience through presentations to customers and stakeholders
• Serve as a technical expert and key contributor to Slingshot’s space surveillance technology development
• Lead the successful execution of individual projects, small team projects, and/or product development activities
• Perform other duties as assigned (to be less than 10% of the responsibilities listed above) 
• Top Secret clearance with SCI eligibility is required for this role. 

Pre-flight Checklist 

• Undergraduate degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Applied Mathematics, Physics, Astronomy, or a related field 
• 4+ years of relevant experience, potentially accounting for a record of academic excellence with relevant internship experience
• Experience developing applications in Python, C++, and Docker
• Effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike
• Demonstrated ability to work independently with little to no day-to-day oversight
• Ability to work in a SCIF in Colorado Springs, CO for up to 20 hours per week (remainder will be remote work-from-home)
• Tenacious drive to overcome challenges and deliver solutions with excellence 

Bonus Cargo 

• Graduate level degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Applied Mathematics, Physics, Astronomy, or a related field 
• Significant experience developing and debugging applications in Python and/or C++ with deployment experience in a Linux operating environment
• Cislunar SSA experience
• Training or experience in fields such as orbital analysis, algorithm optimization, software/hardware interfacing, embedded/GPU development, astrodynamics, estimation theory, statistical analysis, remote sensing, radiometry, and machine learning
• Early-stage startup experience 

We're building a constellation here, not looking for identical satellites. Every member of the team brings different capabilities to the same mission. If your orbit intersects with ours and you're mission-ready, send it. 

Location: Hybrid Colorado Springs, CO Area (50% onsite in SCIF, 50% remote) 

Relocation: Relocation assistance available for qualified candidates

Salary: $127,500-$212,500

Classification: Full time Exempt (learned professional exemption) 

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

The Analyst will support business process management of business processes that are critical to the operation of the broader supply chain for the US Network Design team. Responsibilities include using data to optimize customer demand across our end-to-end logistics supply chain, unlocking significant cost reduction, increasing reliability, and improving our customer experience as we continue to scale. The Analyst will be tasked with identifying and driving continuous improvement opportunities, developing and monitoring the right metrics, and contributing to strategic projects while interacting with cross-functional partners. 

You will…

• Develop, improve, and maintain tools to support logistics network processes, serving as the owner for specific processes and own necessary database improvements that support decision making across key metrics
• Be the subject matter expert in all aspects of HelloFresh’s distribution & shipping network
• Measure the performance of the network processes through developing, tracking, and reporting on KPIs
• Support the development and optimization of processes to grow and scale the logistics network improving cost, quality, and scalability
• Prepare project plans, status and performance updates, continuous improvement opportunity evaluations, and other types of presentation materials, for various audiences
• Drive a customer-focused environment committed to delivering the highest quality product to our customers

You are...

• Data-driven – You can organize, explore, and synthesize unstructured data into actionable insights to better inform operational decision-making
• Strategic - You recognize and resolve situations that are ambiguous or challenging and use logic to identify alternatives, evaluate, and present solutions while thinking about contingency plans
• Agile – You thrive in fast-paced dynamic environments and are comfortable working autonomously
• An excellent communicator –You are able to communicate at all levels with clarity, poise, maturity, and precision both written and verbal
• A self-starter - You are comfortable working autonomously; you’re eager to take on new projects without knowing exactly what you will uncover
• Customer-focused - You aim to achieve a customer experience and product that is second to none

You have:

• Bachelor’s degree in Business Administration, Economics, Data Science, Computer Science, Information Systems, Accounting, Supply Chain major other relevant areas of study required
• 1-2 years of experience delivering analytical solutions to complex problems; executing processes and/or managing tools that drive/enable business activities required
• Excellent quantitative and analytical skills - able to gather, organize, analyze, visualize, and present data to enable decision-making
• Proficiency in spreadsheet applications such as Excel and Google Sheets, including data analysis, pivot tables, and complex formula development
• Fluency in SQL demonstrating the ability to adapt existing queries and develop new ones
• Basic understanding of Python and data visualization software (e.g. Tableau), with significant interest in further developing these skills
• Experience in project management and supply chain operations preferred

You’ll get…

• Competitive hourly rate, 401K company match that vests immediately upon participation, & team bonus opportunities
• Generous PTO and flexible attendance policy 
• Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
• Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)   
• Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+
• Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors

Our company is committed to fair hiring practices and complies with all applicable laws, including the Colorado Job Application Fairness Act (JAFA). In accordance with JAFA, we will not request your age, date of birth, or dates of attendance at or graduation from an educational institution on your initial application for employment.

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 

Two Six Technologies, is building our team and looking for an experienced Automation Tester to support a new opportunity. This role will be primarily responsible for developing and maintaining automated end-to-end, integration and performance tests. 

Responsibilities Include:

• Performs software product testing and investigates possible causes of problems
• Performs manual testing as stop-gap for automated testing
• Develops functional, end-to-end, regression, and performance tests in automated test environments
• Detects and writes software bug reports and feature requests
• Understands, reproduces, troubleshoots product defects and works with developers to determine the best resolution
• Assists in the planning and implementation of testing new features

What you will need:

• 2-5 years of professional software testing experience
• Strong proficiency in automated testing frameworks and methodologies
• Proven experience designing and implementing integration test suites
• Experience with REST API testing and validation
• Proficiency with Cypress or similar end-to-end testing frameworks
• Experience with CI/CD pipeline integration for automated tests
• Knowledge of test design patterns and best practices
• Experience with Git version control and collaborative workflows
• Understanding of software development lifecycle and agile methodologies
• Strong analytical and debugging skills
• Excellent written communication for test documentation and defect reporting
• Experience working collaboratively with development teams

Nice to haves:

• Strong programming skills in JavaScript/TypeScript
• Experience testing microservice architectures
• Familiarity with additional testing frameworks (Playwright, Selenium, Jest, Mocha)
• Experience with API testing tools (Postman, REST, Assured, Supertest)
• Knowledge of performance and load testing tools (k6, JMeter, Gatling)
• Experience with contract testing (Pact, or similar)
• Familiarity with testing in containerized environments (Docker, Kubernetes)
• Experience with test data management and mocking strategies
• Knowledge of accessibility testing (WCAG compliance, axe-core)
• Experience with visual regression tools
• Familiarity with backend technologies (go, Node.js, Python)
• Understanding of security testing principles
• Experience with test reporting and metrics dashboards
• Knowledge of behavior-driven development (BDD) frameworks (Cucumber, SpecFlow)
• Experience mentoring junior test engineers
• Familiarity with cloud test platforms (AWS/C2S) 

Security Clearance:

• Active TS/SCI required. Active TS/SCI w. Polygraph preferred. 

#LI-JS

Overview

As a Senior Space Systems Engineer, you’ll play a key role in developing cohesive system architectures and ensuring the effective integration of spacecraft subsystems to meet mission objectives. This position is a Senior Space Systems Engineering role, focused on the engineering of space systems, rather than a systems engineer for space. We’re looking for someone with a deep understanding of how complex subsystems interact and impact overall system performance.   

What You’ll Do

• Oversee and perform system-wide architecture design, ensuring subsystems function cohesively and meet overarching system goals
• Lead detailed technical efforts and spearhead trade studies of space system architectures
• Identify and address gaps between requirements and top-level objectives, constraining broad problems and decomposing them into actionable tasks to implement solutions
• Support the sourcing and selection of key suppliers, components, and technologies
• Integrate spacecraft components, ensuring cohesive system functionality and compatibility across all subsystems
• Define Key Performance Parameters, select quantifiable metrics, and determine modeling approaches to directly address and answer key design questions in physics-based modeling and simulation efforts
• Lead small multi-discipline teams on spacecraft design, space mission design, and R&D projects
• Assist proposal capture efforts, including private/public, DoD, OGA, and other commercial partnerships
• Conduct comprehensive system analyses, including risk assessments, reliability analyses, and trade studies to optimize system performance
• Participate in design reviews, ensuring that designs meet mission requirements, are feasible, and incorporate best practices
• Support hardware-in-the-loop testing to validate integrated system performance in simulated operational environments 
• Provide technical guidance to junior engineers 

 Your Ideal Background

Required

• Bachelor’s degree in a technical engineering discipline
• 5+ years of experience working on satellite systems with direct involvement in flight programs and the entire Validation and Verification chain
• Ability to define and lay out solutions to ambiguous problems
• Strong written and verbal communication skills
• Capable of identifying and solving complex problems with little to no supervision or direction 
• Expertise in the space environment, commercial space operations, and/or robotics 

Preferred 

• Direct involvement in flight operations or launch campaign  
• Hardware Validation and Verification experience 
• Proficiency with Python, Matlab, STK, Ansys, and/or JAMA 
• Experience in orbital mechanics / astrodynamics 
• Experience in Space Domain Awareness, RPOD, or Robotics  

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 - $180,000 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.

What You’ll Do 

1. Supporting GNC algorithm trade studies 
2. Building simulation environments and prototype algorithms
3. Collaborating on system-level integration 
4. Developing and validating 6-DoF simulation tools
5. Assisting with datasets and algorithm evaluation
6. Supporting implementation, testing, and debugging 

Your Ideal Background

Required 

1. Bachelor’s degree in relevant engineering field 
2. 3+ years of experience working in guidance, navigation, and control in one or more areas:
3. Modeling and simulation
4. Algorithm development for state estimation
5. Trajectory or path planning  
6. Classical or modern control of dynamical systems
7. Software development experience in Python for modeling and simulation applications
8. Experience with GNC systems, sensors, or control algorithms  
9. Ability to work in fast-paced startup environment  
10. Strong problem-solving skills  

Desired 

1. Experience with space system development, especially around guidance, navigation and control, or rendezvous proximity operations.
2. Orbital mechanics / Astrodynamics knowledge
3. Git, Linux, Basilisk familiarity C/C++ experience
4. Strong communication skills
5. Real-time embedded systems experience
6. Hardware-in-the-loop experience
7. Spacecraft hardware knowledge (RWAs, thrusters, etc)
8. Mission operations experience 

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 $140,000 - $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.

What You’ll Do 

1. Architect vision-based navigation systems for autonomous space missions
2. Define and evaluate algorithms for pose estimation, feature tracking, and sensor fusion
3. Build prototype CV pipelines for onboard and simulation environments
4. Lead integration of camera systems with GNC stack
5. Deliver a vision-based navigation architecture for SDA/RPOD missions
6. Develop and validate perception algorithms using synthetic and real datasets
7. Stand up simulation environments for camera modeling and scene generation
8. Drive integration and testing of navigation solutions within full system 

Your Ideal Background

Required 

1. Bachelor’s or higher degree in Aerospace, Robotics, Computer Vision, or related field
2. 5+ years experience in navigation, state estimation, or computer vision systems
3. Strong experience with computer vision techniques (e.g., SLAM, visual odometry, feature detection)
4. Proficiency in Python and/or C++ for algorithm development
5. Experience deploying algorithms to real-world or flight-like systems
6. Proven ability to lead technical projects from concept to deployment 

Desired 

1. Experience with space-based navigation (e.g., RPOD, planetary landing, SSA/SDA)
2. Familiarity with multi-sensor fusion (IMU, cameras, LiDAR, etc.)
3. Experience with OpenCV, ROS, or similar frameworks
4. Understanding of spacecraft dynamics and GNC systems
5. Experience with simulation tools and synthetic data generation
6. Strong communication and cross-functional collaboration skills 

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 $150,000 - $200,000 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 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 Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists 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.” Therefore, Anduril is seeking talented “magicians” to join in our common struggle of expanding the boundary of what’s possible.

WHAT YOU WILL DO:

• Contribute to the direction of a talented small team with your expertise and ideas;
• Create mathematically principled solutions to some of the world’s most challenging information science problems;
• Prototype state-of-the-art algorithms 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 flexible compute clusters to quantify the benefit of our technology;
• Engage with our customers, to ensure successful outcomes for their mission-critical needs;
• Help your colleagues and customers understand what you’re doing and why.

REQUIRED QUALIFICATIONS:

• A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.
• Experience coding languages with Rust, C++, and Python.
• A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas:
• Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;
• Engineering: controls, estimation theory, digital signal processing, and machine learning;
• Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;
• Probability: statistics and random processes.
• A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike.
• 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.