8 jobs found

Job description: We are seeking a mid-level Software Development Engineer in Test (SDET) to help build and mature the testing infrastructure supporting production software for simulation, optimization, and decision support in mission-focused environments. This role is for someone who can develop robust test harnesses, mocking infrastructure, and automated and manual testing strategies. A successful candidate will also help integrate testing into CI/CD pipelines and improve software quality and reliability across Java, Rust, and TypeScript-based applications. The strongest candidates will bring solid software development fundamentals, hands-on experience with software testing and test infrastructure, and the technical judgment to build scalable, maintainable testing practices across a growing production codebase. Required Qualifications SECRET CLEARANCE Bachelors degree in computer science, mathematics, physics, applied math, or related field At least 3 years of industry experience Experience building test infrastructure including mocking and CI/CD pipelines Experience in software testing and test harness development Experience designing automated and manual testing Software Development experience in Java, Rust or Typescript/React Ability to work effectively with researchers, engineers, and end users to translate technical concepts into usable software Familiarity with full-stack web application development in any frameworks/languages U.S. CITIZENSHIP REQUIRED Experience using ADO, Gitlab or similar CI/CD tools Qualifications: Required Qualifications secret clearance Bachelors degree in computer science, mathematics, physics, applied math, or related field At least 3 years of industry experience Experience building test infrastructure including mocking and CI/CD pipelines Experience in software testing and test harness development Experience designing automated and manual testing Software Development experience in Java, Rust or Typescript/React Ability to work effectively with researchers, engineers, and end users to translate technical concepts into usable software Familiarity with full-stack web application development in any frameworks/languages U.S. CITIZENSHIP REQUIRED Experience using ADO, Gitlab or similar CI/CD tools Why is This a Great Opportunity: We are seeking a mid-level Software Development Engineer in Test (SDET) to help build and mature the testing infrastructure supporting production software for simulation, optimization, and decision support in mission-focused environments. This role is for someone who can develop robust test harnesses, mocking infrastructure, and automated and manual testing strategies. Salary Type : Annual Salary Salary Min : $ 125000 Salary Max : $ 175000 Currency Type : USD

Job description: Were looking for a mid-level Rust Software Engineer to build and optimize high-performance software supporting simulation, optimization, and decision support in mission-focused environments. You'll work in a large, production Rust codebase alongside researchers and engineers, turning complex algorithms and research into reliable, performant software. The role spans backend services, databases, frontend applications, and supporting infrastructure, making it a strong fit for an engineer who enjoys solving challenging technical problems and seeing research become operational capability. What Youll Do Develop and maintain production software in a large Rust codebase Design and optimize performance-sensitive algorithms and computational workloads Build backend services using technologies such as Axum and Tokio Integrate software with databases, frontend applications, APIs, and infrastructure Collaborate with researchers, engineers, and end users to translate complex technical concepts into practical software Help evolve research-driven capabilities into scalable, maintainable production systems Required Qualifications Bachelors degree in Computer Science, Mathematics, Physics, Applied Mathematics, or a related technical field 3+ years of professional software engineering experience Strong experience developing production-grade, performance-sensitive software in Rust Experience developing backend services with Axum or similar frameworks Experience with asynchronous programming, preferably using Tokio Strong software engineering fundamentals and problem-solving skills Experience working across the software stack, including familiarity with web application development Ability to collaborate effectively with researchers, engineers, and end users U.S. citizenship required ACTIVE SECRET Security Clearance Preferred Qualifications ACTIVE TS/SCI CLEARANCE Why This Role This is an opportunity to work on technically challenging, mission-critical software where performance matters and your work directly contributes to real-world capabilities. Youll have the chance to operate at the intersection of advanced research and production engineering, working with a highly technical team to turn sophisticated algorithms into software that performs in the real world. Qualifications: Required Qualifications Bachelors degree in Computer Science, Mathematics, Physics, Applied Mathematics, or a related technical field 3+ years of professional software engineering experience Strong experience developing production-grade, performance-sensitive software in Rust Experience developing backend services with Axum or similar frameworks Experience with asynchronous programming, preferably using Tokio Strong software engineering fundamentals and problem-solving skills Experience working across the software stack, including familiarity with web application development Ability to collaborate effectively with researchers, engineers, and end users U.S. citizenship required ACTIVE SECRET Security Clearance Preferred Qualifications ACTIVE TS/SCI CLEARANCE Why This Role This is an opportunity to work on technically challenging, mission-critical software where performance matters and your work directly contributes to real-world capabilities. Youll have the chance to operate at the intersection of advanced research and production engineering, working with a highly technical team to turn sophisticated algorithms into software that performs in the real world. Why is This a Great Opportunity: Were looking for a mid-level Rust Software Engineer to build and optimize high-performance software supporting simulation, optimization, and decision support in mission-focused environments. Salary Type : Annual Salary Salary Min : $ 125000 Salary Max : $ 175000 Currency Type : USD

The AWS Field Experience team provides our customer-facing teams with a suite of products that streamline communication between the field and the specialists within the AWS Worldwide Sales organization. We are part of AWS Field Experience Engineering, enabling our field teams with world-class software and automated mechanisms to scale. Our team's services enable Amazonians all over the world to engage experts across the hundreds of AWS services that are expanding every day by traversing the vast organization. Our product is launching in new directions, enabling you to get in and make fundamental contributions to the trajectory of this effort. As a Software Engineer at Amazon, you will work on distributed cloud systems. As part of this team, you will be responsible for helping design and build the systems that together power our service. You will have the opportunity to work on full-stack development of the user experience for this service. Members of our team have areas of focus, but our general stack includes back-end API development using AWS Lambda, security and identity, NoSQL data storage on DynamoDB, complex event orchestration and automation, real-time data processing, and infrastructure automation using tools like CloudFormation and AWS CDK. Great candidates for this position possess a strong understanding of computer science and a passion for learning new technologies to solve complex problems. You will have the opportunity to apply this passion by leveraging your technical skills in areas such as algorithms, distributed systems, web development, front-end/back-end design, and more. As a member of our engineering team, you will have the opportunity not only to work with and learn from others, but also to drive the direction of our product and become a technical leader in our greater organization. Key job responsibilities You will help our team solve problems such as: Design and implement fault-tolerant systems and services that run at large scale and ensure high availability guarantees Dive into complex architectures, research and identify new technology that can help optimize performance Design and implement systems that will help our service achieve 3x the current scale within the next 2 years Design and implement software that will help minimize outages and improve the availability of our service leveraging well documented operational excellence (OE) techniques About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. BASIC QUALIFICATIONS - Bachelor's degree or equivalent - 3+ years of non-internship professional software development experience - Knowledge of computer architecture, operating systems, and parallel computing - 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 2+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience PREFERRED QUALIFICATIONS - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Golden, CO (Denver Metro) On-Site Full-Time About Rendezvous Robotics Today, everything we send to space is constrained by what fits inside a rocket fairing. That's a fundamental bottleneck to building more capable spacecraft. Rendezvous Robotics is solving this problem with electromagnetic self-assembling tiles that enable spacecraft that are bigger and more powerful than anything that can be folded to fit into a rocket. We're a small team based in Golden, Colorado, executing on a clear path from flight demonstration to our first operational systems. Our work spans hardware, software, and systems engineering, and we're always looking for people who want to build things that matter. The Role We are looking for a Mid to Senior Level Spacecraft Mechanisms Engineer to own the design, analysis, and testing of satellite launch restraint and release systems, tile deployment from the stowed stack, and the load path from that stack into the bus, taking flight hardware from concept through qualification, production, and on-orbit operation. You will own preloaded joint design, release device selection and integration, deployment and separation behavior, the interface to the launch vehicle separation system, and the structural analysis that supports them. You will partner with systems, electrical, avionics, software, manufacturing, test, and outside suppliers. This is a full-time, on-site role in Golden, Colorado, in the Denver metro area. Responsibilities Own launch restraint and release system design, including hold-down and release mechanisms (HDRMs), preload paths, hard point design, and preload retention through the launch environment. Select and integrate vendor-qualified non-explosive actuators (NEAs) and release devices, and qualify them as installed. Design deployment and release mechanisms, including kinematics, energy management, and end of travel behavior. Own tile deployment from the stowed stack, including separation energy. Own the load path from the stowed tile stack and its deployment mechanisms into bus primary structure. Characterize shock environments generated by release devices, including levels at mounted electronics. Perform structural analysis of stowed and deployed configurations, including modal, quasi-static, and random vibration. Develop torque and force margin analysis to a recognized standard. Develop test plans and support deployment, vibration, shock, and thermal vacuum (TVAC) test campaigns, including gravity offload and instrumentation. Engage suppliers, support fabrication processes, and produce and check detailed drawings with geometric dimensioning and tolerancing (GD&T). Required Qualifications Bachelor's degree in Mechanical or Aerospace Engineering or a related field; advanced degree is a plus. 4+ years of spacecraft or satellite mechanism design experience. Demonstrated experience designing spaceflight hardware that has flown, including at least one deployment, launch restraint, or release mechanism. Preloaded joint design experience, including torque and preload relationships, preload retention, and margin against a recognized standard such as NASA-STD-5020. Hands-on deployment, vibration, and shock testing experience. Proficiency with structural finite element analysis (FEA) for modal, quasi-static, and random vibration analysis of stowed and deployed configurations. Experience modeling complex and preloaded joints. Working knowledge of launch and on-orbit load environments, factors of safety, and margin of safety reporting. Strong command of 3D CAD, detailed drawings, tolerance stack-ups, and GD&T (ASME Y14.5). Solid understanding of spaceflight materials, hardware, fabrication techniques, and design for manufacturability. Strong ability to communicate across engineering disciplines to make program-critical decisions. Preferred Qualifications Experience delivering separation systems, deployables, release mechanisms, precision mechanisms, or other moving mechanical assemblies to flight. Experience owning spacecraft primary structure at the bus level, including launch vehicle interface hardware and rideshare accommodation. Experience with stacked or multi-body stowed configurations. Experience designing preloaded joints into sandwich panel structure, including potted inserts, hard points, and compression tubes. Experience with bonded joint design and analysis. Experience characterizing NEA-induced shock, including shock response spectrum analysis. Experience applying torque and force margin methodology per NASA-STD-5017, NASA-STD-5020, or equivalents. Experience designing gravity offload rigs. Familiarity with vacuum tribology, including lubricants, dry film coatings, galling, and cold welding. Familiarity with vibration test notching and force limiting. Familiarity with NASA verification standards, including the General Environmental Verification Standard (GEVS), and/or SMC-S-016. Proficiency with Onshape (SolidWorks, NX, or Creo also valued). Proficiency with industry-standard FEA tools (e.g., Nastran/Femap, ANSYS, Abaqus). Proficiency with Python or MATLAB for analysis and data processing. Hands-on R&D background, including prototyping, testing, and iterating on novel mechanical concepts. Experience in a startup or fast-iteration hardware environment. Compensation and Benefits Engineer: $110,000 to $140,000 Senior Engineer: $140,000 to $170,000 Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. In addition to the base salary, you may also be eligible for long-term incentives in the form of stock options. You will receive access to comprehensive medical, vision, and dental coverage, short- and long-term disability insurance, life insurance, and paid parental leave. You may also receive 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Equal Opportunity Rendezvous Robotics is an Equal Opportunity Employer. Employment is based on merit, competence, and qualifications, and will not be influenced by race, color, religion, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details

Job Description Job Description Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. Worldscape is seeking an experienced Principal Game Engine Engineer to join our fast-moving, innovative Platform team. The Principal Game Engine Engineer will participate in the design, implementation, and optimization of the real time physics systems that underpin the simulation in our applications. You will architect scalable physics solutions, integrate tightly with the data fabric, animation, and rendering pipelines, and drive innovation in physics-led simulation techniques to deliver responsive interactions across vehicles, environments, and all other simulation assets. As a Principal Engineer you will set technical directions, mentor engineers, and partner with Platform and Product Management to turn creative vision into performant, shippable features and customer applications. This is an onsite role located in Redmond, WA. Key Attributes: Innovation Mindset: Passion for pushing the boundaries of real-time physics in interactive simulation. Leadership & Mentorship : Ability to guide developers, set technical direction for an area, and enforce best practices. Problem-Solving : Creative and analytical approach to complex simulation challenges. Communication : Clear articulation of technical concepts to non-technical stakeholders. Responsibilities: Own the physics architecture: Define data models, simulation loops, solver strategies, and integration points across engine and simulation systems. Deliver core physics features: Collision detection (broad phase/narrow phase), entity controllers, vehicle dynamics with an emphasis on orbital mechanics, particles/fluid mechanics (with an emphasis on atmospheric dynamics). Integrate with simulation logic (gameplay) & animation: Build physics driven interactions, authoring tools, and runtime hooks (e.g., inverse kinematics, state machines, event systems). Performance ownership: Profile, optimize, and budget frame time and memory across platforms; lead multi-threading/Job System/SIMD efforts; evaluate GPU compute opportunities. Stability & robustness: Establish test suites, golden scenarios, and verification and validation practices; reduce edge case instability (stacking, tunneling, jitter, constraint drift). Tooling & workflow: Build/debug tools, visualizers, probes, and authoring pipelines that accelerate designer iteration and QA efficiency. Cross functional leadership: Partner with back-end, AI, data pipeline, and platform teams; communicate constraints/trade offs; align milestones with production. Mentorship & standards: Guide engineers via reviews, design docs, and coding standards; cultivate a high bar for craft, documentation, and reproducibility. Quality & live support: Own crash triage and regression control for physics; support content changes post launch without destabilizing the simulation. Professional Qualifications: Education: BS/MS in Computer Science, Software Engineering, Physics, Mathematics (or equivalent practical experience). Experience: 10+ years in real time/game physics engineering; 2+ shipped titles with substantial physics ownership (AA/AAA preferred). Programming: Expert C++ (modern standards), data oriented design, memory management, profiling/debugging (VTune, PIX, Nsight, RenderDoc, etc.). Rigid body dynamics, collision detection (GJK, SAT, continuous collision detection/time of impact), integration schemes (semi implicit Euler, RK, constraint solvers). Numerical stability, error control, and performance trade offs under real time constraints. Engine Integration: Experience integrating physics with animation (animation blending, IK), gameplay systems, and rendering pipelines. Performance: Multi-threading/job systems, SIMD/vectorization, cache friendly data structures, frame/memory budgeting across platforms. Collaboration: Proven ability to lead cross disciplinary efforts and communicate complex technical topics clearly. Preferred Qualifications: 15+ years' experience in Modern Game Engines & Middleware: Unreal Engine (Chaos), Unity (DOTS/Physics), Havok, Bullet, PhysX; custom engine experience strongly preferred. 10+ years' experience in Advanced Simulation: Fracture systems, granular materials, vehicle tire models, buoyancy/aero effects; GPU compute (CUDA, compute shaders). Experience with existing physics models and systems integration. Networking: Deterministic simulation strategies, rollback/prediction, server authority models, cross platform latency mitigation. Console/Platform: Shipping experience on Xbox, PlayStation, Switch, and PC; familiarity with platform TRCs/TCRs and performance certification. Tooling & Scripting: Python/C#/Lua for tools and editor extensions; in engine visualization/debugging overlays. Optimization Expertise: Broad phase structures (sweep-and-prune, BVH), island building, sleeping strategies, CCD tunneling avoidance; job scheduling and affinity tuning. Content Pipelines: Collaboration with design/tech art to create authoring guidelines for physics assets; LOD strategies for physics complexity. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Why Worldscape? There is nothing more important to Worldscape than our culture. It is the fundamental means by which we will succeed as an organization. Talent, ability, drive, experience, knowledge cannot be maximized without first embracing the culture we espouse and will live every single day. Worldscape offers great benefits, opportunities for continued growth, and the ability to directly affect change in our organization and be part of a high-growth startup at a pivotal stage. What we offer: - Competitive salary and meaningful equity - Attractive benefits package - Flexible time off policy - Medical, Dental and Vision insurance - HSA health insurance options - 401k plan - Basic and Voluntary Life Insurance - Fast paced environment with flexibility and ownership Worldscape is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Employment is contingent upon successful completion of a background check. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role As a technical leader on our growing dynamics team, you will own the successful derivation of loads and environments for K2 Space satellites during ground transportation, launch, deployment, and on-orbit operation. You will build software tools and establish simulation workflows to support a variety of analyses in frequency and time domains. Within your first couple of months, you will devise development testing to correlate physics models with measured data. You will also own qualification and acceptance testing of satellite hardware at the component and vehicle level. As we continue to refine our designs and scale for the future, you will set technical direction, mentor junior engineers, and deliver well-derived requirements and engineering insights to make reliable and mass-producible spacecraft. Responsibilities Drive the definition and execution of dynamic testing at the component, subsystem, vehicle, and stack level, including test planning and coordination, test analysis, and model correlation Lead innovation on cross-disciplinary analysis and test methodologies Own and evolve spacecraft dynamics approaches to optimize for the company's business Develop time- and frequency-domain physics models using finite element analysis (e.g., Nastran) and custom-built software (e.g., Python), and set technical direction for shared analysis tooling, including version control and continuous-integration practices for analysis and test-data pipelines Create software tools to support data processing and simulation frameworks Collaborate with design engineers, analysts, and external customers to develop payload products Apply first principles in developing frameworks for both dynamics and non-dynamics analyses Lead code reviews for simulation and analysis tools Utilize analysis and test to provide data-driven engineering guidance and decisions Write high quality technical documentation of tests and simulations Mentor and provide technical guidance to junior and mid-level dynamics engineers, contributing to the growth of the analysis team Derive loads, environments, and other dynamics-driven design and test criteria for payload and hardware teams, including vibration, shock, and jitter maximum predicted environments and response-limit derivation (e.g., NASA 7004C), and develop new response-limiting methodologies as needed Own coupled loads analysis (CLA) for vehicle programs, including bus-and-payload superelement/Craig-Bampton model builds for ascent and on-orbit dynamic environments, through test-level definition Lead jitter and pointing performance analysis, including Monte Carlo dispersion modeling and dynamic coupling with GNC control loops Direct vibroacoustic analysis, including patch-method framework development, and lead acoustic testing of the vehicle Drive definition of vehicle- and stack-level modal test and analysis methodologies, including ground and flight test correlation Qualifications Bachelor's degree in mechanical engineering, aerospace engineering, physics, or mathematics 8+ years of work experience in dynamics from industry or academia Nice to have Master's degree in mechanical engineering, aerospace engineering, physics, or mathematics Strong understanding of low and high frequency dynamics (vibration, acoustics, shock, modal testing) Deep experience with testing and measurements Deep experience with finite element analysis software (e.g. FEMAP, Nastran) Strong experience in software development in Python Deep knowledge of digital signal processing, statistics, and structural mechanics Capable of identifying and solving complex problems with little to no supervision or direction Excellent communication skills of analysis and test insights. Ability to work in a fast-paced, unstructured start-up environment. Experience with coupled loads analysis (CLA) and Craig- Bampton/superelement model reduction techniques Experience with jitter and pointing performance analysis, including Monte Carlo methods for dispersion modeling Familiarity with rigid-body dynamics and GNC-coupled analysis, including dynamic coupling with controllers and pointing impacts Experience with multibody dynamics simulation, including rigid-body dynamics and familiarity with Lagrangian formulations; familiarity with LS-DYNA is a plus Experience with vibroacoustic analysis (e.g., patch, diffuse-field, Statistical Energy Analysis (SEA, e.g., Wave6), or Boundary Element Method (BEM Familiarity with HALT/HASS testing and dynamics-driven PCBA-level failure mechanisms (e.g., solder joint fatigue, component lead flexure) Experience building and maintaining shared analysis tooling, including version control and continuous-integration practices Compensation and Benefits: Base salary range for this role is $190,000 - $235,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.