About Sovrn

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

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

Through Software products and Data solutions we help our customers:

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

About the Role

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

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

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

What you'll be doing:

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

A successful candidate will have:

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

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

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

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

Compensation and Benefits

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

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

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

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

Recruitment Agencies

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

About Sovrn

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

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

Through Software products and Data solutions we help our customers:

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

About the Role

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

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

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

What you'll be doing:

Data Platform & Architecture

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

AI & Agentic Engineering Leadership

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

Collaboration & Mentorship

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

A successful candidate will have:

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

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

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

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

Compensation and Benefits

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

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

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

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

Recruitment Agencies

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

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. 

***This job requires active TS/SCI clearance with a CI Polygraph.  Please apply only if you have an active TS/SCI clearance with a CI Polygraph. ***

North Point Technology is hiring a hands-on HPC Linux Software Engineer to support mission-critical R&D efforts in a high performance computing environment. This role is ideal for an engineer who can work directly with users, solve complex modeling and simulation challenges, and help strengthen HPC software workflows in a fast-paced on-site lab setting.

Responsibilities:

Support HPC users and technical staff in a research and development environment, helping solve modeling and simulation workflow issues across heterogeneous, multi-platform systems. Develop, maintain, and troubleshoot Linux-based software used in HPC environments, including existing code bases and distributed applications. Partner closely with the Technical User Support team, team lead, Chief Scientist, customers, and site staff to resolve technical problems and improve user effectiveness. Contribute across the software lifecycle including requirements, design, coding, documentation, testing, and maintenance. Provide technical guidance to junior engineers and scientists, lead code reviews, and create training materials, tutorials, and onboarding content for users and internal staff.

Required Qualifications:

• TS/SCI Clearance with CI Polygraph
• Bachelor’s degree in a STEM-related discipline
• 10+ years of professional software engineering experience
• Around 5 years of experience developing and using modeling and simulation software in heterogeneous, multi-platform environments
• Experience supporting HPC user workflows for modeling and simulation problems, including GUI-based workflows
• Knowledge of High Performance Computing environments and related technologies
• Proficiency in Fortran, C, and/or C++
• Proficiency with Bash and Korn shell scripting
• Strong Linux experience, including the ability to troubleshoot end-user system issues independently in a lab environment
• Experience with coding standards, unit testing, and configuration management
• Strong ability to analyze, debug, and maintain existing code bases
• Experience with requirements, use cases, design, coding, documentation, and testing of scalable distributed applications in Linux environments
• Experience mentoring junior engineers or scientists, providing technical guidance, and leading code reviews
• Experience designing and delivering training workshops, tutorials, or onboarding materials for HPC users and internal staff
• Strong communication skills and the ability to work effectively across technical teams and customer stakeholders
• Excellent attention to detail, strong problem-solving ability, and solid organizational skills

Preferred Qualifications:

• Experience working on-site with research and development customers in mission-focused environments
• Experience supporting technical user communities in HPC or scientific computing settings
  Background balancing software engineering, end-user support, and technical training responsibilities in the same role

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.**

This Senior IAM Engineer will own the Okta for Government High (FedRAMP High) tenant, which serves as the enterprise Identity Provider and Identity Governance platform for a 1,500+ user organization. The role is the primary technical resource responsible for the build, enhancement, and operation of key functions, including SSO integrations, Identity Governance (OIG), Lifecycle Management, Workflows automation, and Adaptive MFA policy.

In the first three months, you will help develop the core program documentation and workflows. You will collaborate with external teams like IT, Legal and People to integrate into company processes. You will work with our technical security experts to build Identity and Access management processes and procedures.

Responsibilities

• Own the Okta for Government High (FedRAMP High) tenant — configuration, health, lifecycle, and security posture
• Manage Universal Directory: on-prem AD Agent sync, HRIS attribute mastering, profile mappings, and group rules
• Build and maintain all SSO app integrations via the Okta Integration Network (OIN) using SAML, OIDC, and SCIM
• Own and maintain Okta Adaptive MFA policies: factor enrollment rules, risk-based step-up authentication, FIDO2/YubiKey/PIV/CAC configuration
• Maintain the Okta System Log to Microsoft Sentinel log streaming pipeline and retention configuration
• Own Okta Identity Governance (OIG): entitlement catalog, access certification campaign setup, SoD policy rules, and access request workflow design
• Own, Build and Maintain Okta Lifecycle Management: JML automation rules, HRIS connector configuration, and auto-provisioning and deprovisioning into all connected applications, access review triggers, and automated remediation
• Design, build, and document all Okta-side enhancements including new app onboarding, policy changes, and IGA configuration updates
• Write test cases for all Okta-side changes; execute UAT jointly with the Identity Governance & Operations Analyst before production promotion
• Support Identity Operations Specialist on Tier 2 Okta escalations and Workflow troubleshooting
• Assist Identity Governance & Operations Analyst with OIG campaign configuration and certification reporting

Requirements:

• 4+ years of hands-on Okta administration and engineering experience
• Demonstrated experience with Okta SSO app integrations via SAML 2.0 and OIDC
• Experience with Okta Lifecycle Management and HRIS connector configuration
• Experience building Okta Workflows for provisioning automation
• Experience with Okta Adaptive MFA policy configuration including FIDO2/WebAuthn and hardware token enrollment
• Experience with Okta Universal Directory including AD Agent deployment and profile mastering

Compliance Requirements: this role will be subject to US Federal regulations, therefore:

• Must be a U.S. Citizen or Lawful Permanent Resident (Green Card holder) — U.S. Person 
• Ability to obtain and maintain a security clearance or pass a background investigation consistent with CUI access
  
  

Preferred Qualifications:

• Experience with Okta for Government High (FedRAMP High) or FedRAMP Moderate environments — strong preference
• Okta Identity Governance (OIG) experience — access certifications, SoD, entitlement management
• Experience federating Okta to Microsoft Entra ID / GCCH as a SAML Service Provider
• Familiarity with CMMC, ITAR, GDPR, SOX, SOC 2 compliance requirements
• Experience with SCIM 2.0 provisioning to downstream applications
• Okta Identity Governance certification (preferred)

The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

Location: This role is based out of our College Park, Boulder, CO, or Bothell, WA offices, or can be remote in the US. 
Travel: Up to 1 week per quarter
Job ID:  1460

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: 1570

The Role

Capella is looking for an energetic Senior Electrical Engineer Manager who will be responsible for leading and managing a team of electrical engineers who design, develop, and test electrical systems and components. This role involves supporting project execution, ensuring compliance with industry standards, and driving innovation of our electrical systems within our satellite.

This role will sit within the Spacecraft Engineering team at Capella Space. This team contains a variety of engineering disciplines that design and develop the satellite and payload systems.

Responsibilities

Leadership and Management:

• Lead, mentor, and develop a team of electrical engineers, providing guidance, support, and performance feedback of a distributed team across two offices.
• Assign people to tasks and manage workloads to ensure timely project completion.
• Foster a collaborative and innovative team environment.

Project Oversight:

• Oversee the design, development, and testing of electrical systems and components for our application.
• Allocate resources effectively to meet project goals and deadlines.
• Support systems engineering requirements.

Technical Expertise:

• Provide technical expertise and guidance on electrical design, integration, and troubleshooting.
• Stay current with industry trends, emerging technologies, and regulatory requirements.
• Drive continuous improvement in electrical engineering practices and processes.

Compliance and Quality Assurance:

• Ensure compliance with aerospace industry standards, including safety, reliability, and regulatory requirements.
• Implement and enforce quality assurance procedures to maintain high standards in all engineering activities.

Qualifications

• Education: Bachelor’s degree in Electrical Engineering; a Master’s degree or higher is preferred.
• Experience: 
• Minimum of 12 years of experience designing, testing, and troubleshooting complex board designs and systems in a hardware R&D lab environment, with 4 years in a managerial or leadership role.
• Proven experience in aerospace systems, or similar high reliability industry, and components is highly desirable.
• Skills: 
• Understanding of hardware evaluation methodologies, including development of test cases/suites, performance analysis, test automation, and data analysis 
• Extensive experience with oscilloscopes, logic analyzers, thermal chambers, and other test equipment 
• Experience with I2C, SPI, PCIe, USB, etc. 
• Experience designing modern analog and digital electronics 
• Experience in PCB schematic capture & layout
• Experience with Altium designer tools or other similar electronic CAD tools 
• Experience designing high reliability systems 
• Knowledge of the PCBA fabrication and assembly process 
• Familiarity with PLM tools and strong revision control practices 
• Excellent design and manufacturing documentation skills with attention to detail 
• Ability to work autonomously by determining and evaluating different courses of action independently 
• Strong technical communication skills to be used in a highly collaborative environment

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 $192k - $220k DOE. 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, 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:  552 (1449)


The Role

As a System Engineer, you are expected to oversee and drive the conceptual and architectural design of Skyloom´s products, ensuring successful delivery aligned with business priorities. You will interact with various stakeholders to manage projects and product portfolios, fostering collaboration among cross-functional teams and acting as the primary contact for product-related inquiries and decisions.

Responsibilities

• Manage budgets: link, pointing, power, mass, and time allocations 
• Oversee memory, physical configuration, and other system parameters.
• Define system architectures, interfaces, manage requirements definition, flow downs and traceability.
• Identify key requirements for each subsystem.
• Negotiate requirements between subsystems and perform trade-off analyses to optimize system performance.
• Promote comprehensive requirement definition for subsystems.
• Develop system and subsystem validation and verification (V&V) strategies.
• Empower and lead system teams, encouraging Systems to take ownership of initiatives and tasks.
• Lead decision-making processes and trade-off analyses. 
• Review and reach consensus on subsystem schedules, understanding dependencies and inter-team interactions.
• Approve required tasks for each subsystem, estimating time and resource allocations.
• Conduct internal design reviews (similar to Critical Design Reviews) to ensure interface requirements are met.
• Provide training and knowledge-sharing opportunities for Systems teams through internal courses or presentations.
• Ensure subsystems define their design processes and perform flow-down of system requirements to lower-level subsystems (typically L3 to L4 and below).
• Prepare typical documentation packages for each project phase and support project budgeting.
• Oversee the organization of Systems teams, whether structured per project or product (e.g., OCTs, OGS), with designated responsible leaders for each subsystem.
• Establish clear procedures and processes, enforce their use, and continuously improve system engineering practices.

Required Qualifications

• Bachelor’s degree in systems engineering, Electrical Engineering, Computer Science, or a related field.
• Strong understanding of systems engineering principles and product management.
• 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

• Master's degree in a related field.
• Experience with disruptive technologies and product development.
• Familiarity with regulatory compliance standards and quality assurance processes.
• Excellent communication skills and proven ability to engage with cross-functional teams.
• Fluency in English, with strong written and verbal communication skills.
• Availability to travel to USA

Compensation 

The approximate base salary range for this position is $112,040 - $140,050. 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 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.**

Platform Infrastructure Engineer, #990

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

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

What You'll Be Doing:

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

Required Education, Experience, and Skills:

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

Preferred Education, Experience, and Skills:    

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

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

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

You will:

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

Ideally you have:

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

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

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

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

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

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

You will:

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

Ideally you'd have:

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

Nice to haves:

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

ABOUT THE TEAM

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

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

WHAT YOU'LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

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

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

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

The ideal candidate for this role will have

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

Nice to Have

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

Position Expectations

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

Success Measures

Within the first three months, you will have:

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

Within six months, you will have:

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

Within 12 months, you will have:

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

About MongoDB

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

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

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

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

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

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

REQ ID: 425547

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

Principle duties and responsibilities:

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

Competencies:

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

Required Qualifications:

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

Preferred qualifications:

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

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

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

Build, Deploy, and Maintain AI for an Unpredictable World

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

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

The Role

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

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

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

Your day-to-day will include:

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

The Right Fit

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

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

Here’s what we are looking for:

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

The Wish List

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

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

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

The Benefits

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

Check us out on Built In!

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

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

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

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

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

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

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

Who you are

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

What we need

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

What you will learn

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

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

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

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

About the opportunity

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

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

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

What to expect?

Data Modeling & Transformation

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

Pipeline Ownership

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

Enablement & Collaboration

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

What you need to be successful?

Required

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

Preferred

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

What's in it for you?

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

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

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

The application deadline is 05/21/2026

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

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

About the opportunity

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

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

What to expect?

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

What do you need to be successful?

Required

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

Preferred

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

What we're looking for

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

What's in it for you?

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

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

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

The application deadline is 05/23/26

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

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

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

About the Opportunity

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

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

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

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

 What to expect?

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

What you need to be successful

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

Nice to Have

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

What’s in it for you?

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

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

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

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

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

About the role

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

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

What you’ll do

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

What you bring

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

What you’ll get

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

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

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

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

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

Equal Employment Opportunities at Checkr

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

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

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 

The Role:  

Forge’s quality engineering team’s charter is to improve product quality. We thrive on holding high standards, obsessing over our customers, and living our values of being bold, humble and accountable.

We are seeking a Staff Quality Engineer with at least 8 years of experience owning and delivering quality for large complex financial trading systems. This role will work on our trading team. We are looking for a senior, technical and customer focused candidate who will also embody Forge values. The ideal candidate thrives in team settings and is motivated by creating success all around them through strong communication, shipping great product experiences, and making data-driven decision

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities: 

• Build comprehensive bottoms up Test Strategies for our platform services organization
• Write tests plans covering various customer use cases – functional, compliance & legal aspects
• Engage is projects from the initiation phase to identify gaps in requirement and failure modes in design
• Be a force multiplier to help developers shift testing left
• Automate tests based on what’s most valuable and high priority and help adopt best practices to improve code quality
• Collaborate with Forge’s product, design, information security and business team members to quickly grasp domain knowledge.
• Develop concise, articulate, and detailed documentation[RP1] [AD2] 
• Participate in scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment.
• Provide technical expertise and ownership in the diagnosis and resolution of issues, including the determination and provision of workaround solution or escalation to service owners.
• Identify defect trends and partner with development teams to fix the root cause
• Leverage artificial intelligence technologies to improve the impact and efficiency of testing

Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, or related field (or 5 years software engineering experience)
• 8-12 years of software testing experience
• Fintech, Trading or Financial services industry experience
• Experience in leading quality efforts for internet applications
• Physical requirements: operate a computer for at least 8 hours per day; give and receive detailed information through verbal and written communication

For residents of the Denver, CO area, the annual salary range for this role is $155,000 - $175,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

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

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

ABOUT THE JOB

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

WHAT YOU WILL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

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

ABOUT THE TEAM

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

ABOUT THE JOB

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

WHAT YOU WILL DO

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

REQUIRED QUALIFICATIONS

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

DESIRED SKILLS (PLUS)

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

The Role

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

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

What You'll Do:

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

Qualifications:

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

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

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

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

Who you are

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

What we need

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

What you will learn

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

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

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

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

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

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

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

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

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

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

Who You Are

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

What You Bring 

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

What You Will Learn

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

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

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

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

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

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

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

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

Who You Are

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

What We Need

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

What You Will Learn

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

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

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

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

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

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

Who You Are

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

What We Need

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

What You Will Learn

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

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

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

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

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

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

Who You Are

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

What We Need

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

What You Will Learn

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

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

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

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

Tenstorrent is seeking an experienced EDA/PDK CAD Engineer to build and maintain world-class design infrastructure that accelerates our silicon innovation. In this role, you'll install and optimize PDKs, manage EDA tool flows, and partner with analog, digital, and software teams to continuously improve design efficiency. If you're passionate about solving complex CAD challenges and enabling cutting-edge chip design, we want you on our team.

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

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

Who You Are

• A self-driven problem solver with deep knowledge of PDKs, EDA tools, and IC design flows.
• Experienced in troubleshooting complex CAD issues and developing creative work-around solutions.
• Collaborative communicator who actively seeks feedback to improve team productivity.
• Passionate about challenging industry-leading tools and methodologies to drive continuous improvement.

What We Need

• BS, MS, or Ph.D. in Electrical Engineering and/or Computer Science with 5+ years of industry experience.
• Hands-on expertise installing, configuring, and maintaining PDKs and EDA environments.
• Strong background supporting physical verification flows (DRC, LVS, EM/IR, extraction) and mixed-signal simulation.
• Proven ability to work with vendors, foundries, and cross-functional teams to resolve technical issues.

What You Will Learn

• How to architect and scale design infrastructure for state-of-the-art AI silicon development.
• Advanced techniques for optimizing EDA flows across analog, digital, and mixed-signal domains.
• Direct collaboration with world-class engineers to shape tools and methodologies that define industry standards.
• Best practices for proactive CAD support and continuous flow improvement in a fast-paced innovation environment.

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

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

Tenstorrent is seeking a talented Physical Design Engineer to implement high-performance blocks for our industry-leading CPU and AI/ML architectures. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team.

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

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

Who You Are

• A hands-on engineer with deep expertise in SOC/ASIC physical design and a track record of successful tapeouts.
• Passionate about optimizing PPA through innovative implementation techniques and close RTL collaboration.
• Strong problem solver who excels at debugging complex issues across design hierarchies.
• Collaborative team player who thrives in fast-paced, technically challenging environments.

What We Need

• BS/MS/PhD in EE/ECE/CE/CS with proven experience in synthesis, PnR, and timing closure on taped-out designs.
• Expertise with industry-standard tools (FusionCompiler, PrimeTime, RedHawk) and scripting languages (Tcl, Perl, Python).
• Deep understanding of advanced node challenges and low-power design techniques (power gating, multi-Vt, voltage scaling).
• Experience driving physical design requirements from early architecture through final signoff.

What You Will Learn

• How to implement cutting-edge AI accelerators, high-performance CPUs and the SOCs that host them on the most advanced process nodes.
• Innovative PPA optimization techniques and methodologies for next-generation chiplet architectures.
• End-to-end ownership from flow development to signoff in collaboration with architecture and IP teams.
• Direct impact on products that are redefining the landscape of AI and high-performance computing.

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

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

Tenstorrent is seeking talented Physical Design Engineers to implement high-performance partitions for an industry-leading AI SOC. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team.

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

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

Who you are

• Experienced with synthesis and place-and-route flows, especially using Synopsys Design Compiler / Fusion Compiler and IC Compiler II.
• Comfortable in a small, cross-functional physical design team, owning a block or subsystem and partnering on tapeout milestones with clear communication and accountability.
• Ideally bring extra depth in areas such as UPF/multi-voltage power domains, SoC interface IP integration (e.g. I3C, UART), signoff breadth (DRC/LVS, EM/IR, LEC/Formality), multi-clock/CDC-aware implementation, PLL/DLL integration, and DFT-aware physical implementation (OCC/MBIST).

What we need

• Execute synthesis, PNR, and STA for assigned partitions of a complex AI SoC.
• Help close EM/IR, ensure UPF power intent is consistent with implementation, and drive LEC and physical verification signoff for your partitions in coordination with methodology owners.
• Work closely with architects, RTL designers, and DFT engineers to resolve implementation and signoff issues across your blocks.

What you will learn

• How to implement and close AI SoC partitions end-to-end, including power intent, timing, and physical signoff in a modern Synopsys-based flow.
• Deeper expertise across signoff domains: EM/IR, DRC/LVS, logical equivalence (LEC/Formality), and CDC-aware implementation on meaningful production blocks.
• Practical integration of analog/mixed-signal macros (PLL/DLL), DFT features (OCC/MBIST), and SoC interface IP within advanced physical design flows and collaborative tapeout environments.

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. 

We’re looking for a Timing Engineer to join our silicon team. In this role, you’ll drive static timing analysis and closure for complex, high-performance designs. You’ll collaborate closely with logic, DFT, and physical design teams to debug constraints, optimize paths, and ensure our chips meet performance targets across corners and modes.

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

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

Who You Are

• Experienced in STA and passionate about enabling silicon to meet aggressive performance goals.
• Analytical and detail-oriented, with a strong understanding of timing paths, constraints, and optimization strategies.
• A collaborative team player who works well across logic, DFT, and physical design boundaries.
• Resourceful and self-driven, capable of developing scripts and methodologies that improve timing closure workflows.

What We Need

• 7+ years of industry experience and a proven record of successful tapeouts.
• Deep knowledge of STA tools and techniques, including noise, crosstalk, and OCV analysis.
• Proficiency in writing and debugging SDC constraints, creating ECOs, and developing closure strategies.
• Strong scripting skills in Python, Perl, and TCL to support automation and flow development.
• Familiarity with SPICE modeling and worst-case corner analysis.

What You Will Learn

• How to close timing on Tenstorrent’s high-performance RISC-V CPUs and AI SoCs.
• Advanced STA methodologies tailored to modern sub-micron process technologies.
• How to collaborate with world-class engineers across RTL, DFT, and physical design teams.
• How to influence chip performance through timing methodology innovation and automation.

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

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

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

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

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

Who You Are

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

What We Need

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

What You Will Learn

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

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

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

Tenstorrent is seeking an exceptional Senior-level SoC Physical Design Engineer to drive top-level implementation of our complex AI and CPU SoC designs. You'll orchestrate cross-disciplinary collaboration, implementing sophisticated floorplans, power grids, and clock networks while ensuring design closure at the chip level. If you excel at managing the complexity of full-chip physical design and want to deliver next-generation AI hardware, we need your expertise.

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

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

Who You Are

• A seasoned physical design engineer who thrives on complex, full-chip implementation challenges.
• Expert at collaborating across disciplines, working effectively with architecture, RTL, and packaging teams.
• Passionate about optimizing chip-level implementations for power, performance, and area.
• Detail-oriented professional who drives design closure while maintaining quality and meeting aggressive schedules

What We Need

• 8+ years of top-level SOC physical design experience on complex, multi-million gate designs.
• Deep expertise in hierarchical floorplanning, fabric implementation, power grid design, and global clock distribution.
• Proven track record with bump planning, RDL implementation, and multi-voltage domain designs.
• Mastery of timing closure, EM/IR analysis, and physical verification at the chip level.

What You Will Learn

• How to implement cutting-edge AI accelerators and high-performance CPUs at the SOC level.
• Advanced techniques for chiplet integration and next-generation packaging co-design.
• Strategies for optimizing massive designs with complex power domains and clock architectures.
• Methods for driving successful chip-level closure through effective cross-functional collaboration.

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

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

Tenstorrent is seeking talented Physical Design Engineers to implement high-performance blocks for our industry-leading CPU and AI/ML architectures. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team.

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

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

Who You Are

• A hands-on engineer with deep expertise in SOC/ASIC physical design and a track record of successful tapeouts.
• Passionate about optimizing PPA through innovative implementation techniques and close RTL collaboration.
• Strong problem solver who excels at debugging complex issues across design hierarchies.
• Collaborative team player who thrives in fast-paced, technically challenging environments.

We’re looking for a Physical Design Engineer – EMIR to join our silicon team. In this role, you’ll lead EM and IR-drop simulations to ensure robust power delivery, signal integrity, and long-term reliability for high-performance ICs. You’ll work with RTL, physical design, and analysis teams to implement power grid strategies that optimize performance, power, and area (PPA), particularly at advanced nodes like 7nm and below. You’ll also support EMIR sign-off and waiver methodologies across the chip hierarchy.

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

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

Who You Are

• A physical design specialist with deep experience in EMIR analysis and signoff.
• Comfortable navigating advanced technology nodes and power integrity challenges.
• Proactive and detail-oriented, with a passion for pushing performance and reliability boundaries.
• Collaborative and effective across teams working on RTL, physical design, packaging, and reliability.

What We Need

• 7+ years of experience in physical design or signoff, with a focus on EMIR.
• Hands-on with RedHawk, Voltus, or equivalent industry-standard EMIR tools.
  Strong understanding of IR-drop mitigation, EM compliance, and power grid design.
• Proficiency with layout extraction flows, RC modeling, and metal density checks.
• Experience working in advanced nodes (7nm, 5nm, 3nm), and with scripting languages like TCL, Python, Perl, or Shell.
• Knowledge of floorplanning, bump/RDL design, and sign-off flows (DRC/LVS, timing closure).

What You Will Learn

• How to architect and analyze robust power delivery for Tenstorrent’s RISC-V CPUs and AI chips.
• How to integrate EMIR signoff into fast-paced, high-performance chip design cycles.
• Best practices for hierarchical analysis and EMIR methodology across pre- and post-layout flows.
• Cross-functional collaboration for optimizing PPA while meeting stringent reliability goals.

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

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

Tenstorrent is seeking an exceptional Senior-level Physical Design Engineer to drive top-level implementation of our complex AI and CPU System-on-Chip designs. You'll orchestrate cross-disciplinary collaboration, implementing sophisticated floorplans, power grids, and clock networks while ensuring design closure at the chip level. If you excel at managing the complexity of full-chip physical design and want to deliver next-generation AI hardware, we need your expertise.

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

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

Who You Are

• A seasoned physical design engineer who thrives on complex, full-chip implementation challenges.
• Expert at collaborating across disciplines, working effectively with architecture, RTL, and packaging teams.
• Passionate about optimizing chip-level implementations for power, performance, and area.
• Detail-oriented professional who drives design closure while maintaining quality and meeting aggressive schedules.

What We Need

• 8+ years of top-level SOC physical design experience on complex, multi-million gate designs.
• Deep expertise in hierarchical floorplanning, fabric implementation, power grid design, and global clock distribution.
• Proven track record with bump planning, RDL implementation, and multi-voltage domain designs.
• Mastery of timing closure, EM/IR analysis, and physical verification at the chip level.

What You Will Learn

• How to implement cutting-edge AI accelerators and high-performance CPUs at the SOC level.
• Advanced techniques for chiplet integration and next-generation packaging co-design.
• Strategies for optimizing massive designs with complex power domains and clock architectures.
• Methods for driving successful chip-level closure through effective cross-functional collaboration.

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 Team & About Role:

Rubrik’s sales organization is a united group of elite cross-functional sales professionals that help companies & government entities achieve resilience against cyberattacks, malicious insiders, and operational disruptions. We offer continuous professional development through our world class sales enablement program and our One Rubrik selling approach provides all the resources you need to exceed your goals, maximize your earnings potential and take your career to the next level. All this while doing something that truly matters, protecting the world's data.

Rubrik is looking for solutions architects with extensive experience in agentic technologies to provide technical direction and business guidance to our new product incubation team - RubrikX. As a Go To Market (GTM) Tech Lead, you will be accountable for product line revenue goals by developing the corporate technical go to market strategy and overseeing key account technical pre-sales activities. You will be responsible for building, evangelizing, positioning, and architecting the industry's leading agentic AI governance and security platform for a mix of enterprise and majors customers throughout North America.

What You'll Do:

• Provides technical leadership and direction to Rubrik, customers, and prospects in the development and positioning Rubrik's AI Agentic Cloud offerings.
• Serves as a trusted technology advisor to customers and serves as an agentic AI subject matter expert when positioning Rubrik's cloud capabilities to key accounts.
• Leads technical sales calls, gathers / analyzes customer feedback, and identifies trends.
• Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding.
• Maintains a consistent cadence with product management to ensure product roadmap alignment with customer demands.
• Assists with the development of marketing and sales collateral to ensure alignment with customer needs and technical accuracy.
• Aids in the development and delivery of technical enablement to Rubrik, channel, and alliance partner sales architects.
• Cross-functionally drives the adoption of Rubrik Agent Cloud throughout Rubrik throughout Rubrik the and the agentic AI ecosystem.

Preferred Qualifications:

• 5+ years of sales engineering experience in an AI environment with a proven track record of success.
• Additional preference for experience with observability and/or governance technologies.
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in large language models, agentic AI, and agent builder technologies
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded

#LI-KP1

The Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technology to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.

These high performance designs require even higher performance verification. We are looking for experienced Design Verification (DV) engineers who are skilled at writing testbenches and building verification environments to exercise complex HDL. Our ideal candidate is not only an ace tester, but a practicing toolsmith. You know the EDA landscape and want to be part of a team actively working to rethink, redesign, and surpass the status quo. For example, members of our team are active maintainers of popular open source projects such as Slang, Verilator, and Cocotb.

FPGA and ASIC verification is part of an innovative, growing team at HRT which is integral to the success of our trading. You can expect to always be challenged by the ever-changing financial markets as you work to ensure correctness and robustness of our critical hardware in an extremely fast-paced, real-time environment. No financial experience is necessary.

Responsibilities

• Creating testbenches and tests for our hardware platform, leveraging a hybrid open-source/proprietary, highly flexible environment
• Writing detailed verification plans
• Quickly root-cause RTL bugs
• Collaborating directly with designers for rapid bringup of new projects and debugging of existing designs
• Managing test suites and continuous integration infrastructure
• Developing and improving open-source and internal tools

Qualifications 

• Superb debug and analytical skills 
• Professional experience (2+ years) in RTL functional verification for FPGA or ASIC
• Experience with code and functional coverage collection/analysis
• Experience with SystemVerilog and industry-standard frameworks such as UVM
• Experience with Python
• Comfortable in a Linux environment
• Familiarity with Verilator and/or Cocotb preferred
• C++ experience is a plus
• A bachelor’s degree in computer science, electrical engineering, or a related field

The estimated base salary range for this position is 175,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment.

Responsibilities

• Design, manage, automate, and optimize worldwide Linux-based trading infrastructure by planning and executing complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Design and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Remain unfazed by production-critical issues, resolving them quickly and efficiently
• Benchmark and tune the performance of the trading stack 
• Hold vendors accountable on performance and reliability issues, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 7+ years of relevant experience supporting a live production environment (especially trading)
• Expert in installing, configuring, and troubleshooting Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Proficiency with configuration management tools, particularly SaltStack – strong knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Advanced programming experience focusing on automation and integration; Python is strongly preferred
• Advanced shell (bash) scripting experience
• Significant experience managing and debugging production trading services
• Strong cross-functional communication and organization skills
• Proven ability to manage assigned projects efficiently, ideally using JIRA
• Architect-level cloud experience in AWS or GCP is desirable, but not required

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

JOB SUMMARY:

The Jira Platform & Identity Automation Engineer is responsible for designing and implementing automation and structured data models across Jira Service Management and Jira Assets. This is a short-term project (6 months) contract with British Aerospace Engineering.  The role focuses on automating Active Directory (AD) access workflows and building scalable, maintainable systems that translate business processes into reliable, auditable automation. The engineer will support both the development of a structured asset/data model and the automation of high-volume AD group membership changes based on approved service requests.

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

AD Automation & Workflow Execution

• Design and implement automation that converts approved Jira tickets into AD group membership changes
• Integrate Jira workflows with execution platforms (e.g., PowerShell services or VMware Aria Orchestrator)
• Develop and maintain automation using ScriptRunner for Jira or equivalent tools
• Implement validation, idempotency, and error handling for automated actions
• Ensure all changes are logged, auditable, and attributable

Jira Assets (CMDB) Design & Implementation

• Design object schemas in Jira Assets for devices, infrastructure, applications, and services
• Define relationships between assets (e.g., system → owner → access groups)
• Establish data standards, governance, and lifecycle processes for Assets
• Integrate Assets with Jira forms to enforce structured input and reduce errors

Platform Integration & Architecture

• Define and implement separation between request intake (Jira), data/policy (Assets), and execution (automation/orchestration)
• Build integrations between Jira, Assets, and external systems via REST APIs
• Ensure scalability and maintainability of automation workflows

Identity & Access Management Alignment                                                   

• Support and improve AD group lifecycle and access request processes
• Apply IAM principles including least privilege, role-based access, and separation of duties
• Identify opportunities to reduce manual access provisioning and improve consistency

REQUIRED SKILLS AND EXPERIENCE:

• Hands-on experience with Active Directory, including security groups and group membership management
• Experience with PowerShell-based administration
• Experience with Jira Service Management, including workflows, request types, and automation
• Experience designing or working with structured data models (CMDB, asset systems, or similar)
• Experience with scripting and automation
• Experience integrating systems via APIs
• Strong understanding of RBAC, least privilege, and separation of duties

EDUCATION: Bachelors with  3+ or Master with  1+ Years of Experience

LENGTH: 6 months

LOCATION: Full Time/ On-Site in Broomfield, CO

CLEARANCE REQUIRMENT:  TS/SCI Eligible 

DOD 8570 REQUIREMENT: IAT - Level II

SALARY RANGE: $100 to $120 per hour

PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

While performing the duties of this job, the employee is regularly required to:

• Remain in a stationary position for extended periods of time.
• Operate a computer, keyboard, and other office equipment using hands and fingers.
• Communicate effectively in person, over the phone, and through electronic means.
• Occasionally move about the office to access files, office equipment, and meeting spaces.
• Lift and/or move up to 15 pounds as needed.
• Maintain specific vision abilities, including close vision and the ability to adjust focus.

WORK ENVIRONMENT:

This position is performed within a secure, classified workspace. Employees must comply with all applicable security protocols and access control procedures, including restrictions on personal electronic devices and the handling of sensitive information.

The Role: 

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions
• Implement software solutions in line with provided estimates and requirements
• Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

• 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java
• Experience with scripting languages such as Python for data-related tasks
• Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)
• Experience in Private Markets or Financial Services, specifically working with financial market data
• Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality
• Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development
• Proficiency in databases such as PostgreSQL and strong SQL skills
• Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)
• Extensive experience with version control systems such as Git and platforms like GitHub
• Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

• Experience migrating systems from legacy architectures to modern tech stacks
• Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka
• Experience leading offshore and nearshore engineering teams
• Experience using large language models and agentic workflows

For residents of Denver, CO the annual salary range for this role is $100,000-$115,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors