Since Axiom Space is a very complex work environment, we are looking for a resilient, high-energy early career Senior Electrical Integration and Test Engineer to own the test and test system requirements for the Axiom Extravehicular Mobility Unit (AxEMU) Portable Life Support System (PLSS).
Responsibilities
Own the test requirements and test system requirements
Design and implement test cases (scripts, procedures, etc.)
Lead test system/test setup detailed design
Integrate with other spacesuit and test functions including thermal control, flight software, power distribution, test facilities, and test support equipment
Document verification results and create verification closure records
Requirements
Bachelor's degree from an accredited college or university in Electrical Engineering, Computer Engineering, or equivalent
Nice to have: Bachelor's or Master's degree in Electrical, Computer Engineering, or related field
Nice to have: experience in integration and test in spacecraft, aerospace, defense, or other high reliability programs
Nice to have: exposure to interface control documents, requirements management tools such as Jama or DOORS
Nice to have: exposure to laboratory or test operations, equipment procurement, facility readiness, or test scheduling
As an AI Engineer Co-Op, you will work alongside experienced AI architects, AI engineers, and platform engineers to design, develop, and operationalize AI solutions that support ASML's business and technology objectives.
Responsibilities
Build and enhance AI-powered applications using modern LLMs, agent frameworks, and AI orchestration capabilities.
Develop and test prompts, AI workflows, RAG solutions, and agentic AI systems.
Assist in deploying secure and governed AI solutions on enterprise-approved platforms.
Contribute to MLOps and AI governance capabilities that improve transparency, reliability, and compliance.
Support evaluation frameworks, scorecards, benchmarking, and AI quality measurement processes.
Lead reliability engineering efforts for the Vantor Hub platform and related infrastructure services.
Compensation
The base pay for this position within Colorado is: $128,000.00 - $170,000.00 - $187,000.00 annually.
Responsibilities
Lead reliability engineering efforts for the Vantor Hub platform and related infrastructure services.
Design, implement, and maintain scalable CI/CD pipelines for software and infrastructure delivery.
Build, operate, and improve cloud infrastructure automation using tools such as Terraform, CloudFormation, Kubernetes, Docker, and AWS-native services.
Troubleshoot complex infrastructure, deployment, networking, performance, reliability, and production issues.
Improve service availability, scalability, maintainability, reliability, security, and overall operational readiness.
Requirements
Bachelor's Degree in Software Engineering, Computer Science, a related engineering field, or equivalent experience.
Lead the design, delivery, and evolution of modern web applications, APIs, and system integrations, using AI to accelerate development and deliver intelligent features.
Compensation
The target salary range for this position is $128,000.00 - $160,000.00 annually.
Responsibilities
Lead the technical design and delivery of full stack solutions, owning architecture decisions, standards, and best practices.
Mentor and coach developers, conduct code reviews, and foster a culture of quality, collaboration, and continuous improvement.
Plan and estimate work with product and project stakeholders, break down requirements, and ensure on-time, high-quality delivery.
Develop responsive front-end interfaces and robust back-end services using modern frameworks and languages.
Design, build, and document RESTful APIs with strong security, versioning, and error handling, and define API standards for the team.
This role represents a rare opportunity to define and build the AI capabilities of a newly standalone company (DePuy Synthes). You will shape how generative and agentic AI is designed, governed, reused and scaled, while leading a team that turns emerging technologies and priority business needs into enterprise platforms, accelerators and strategic applications.
Locations (2)
Raritan, New Jersey, United States
Bengaluru, Karnataka, India
Compensation
The anticipated base pay range for this position is $140,000.00 - $241,500.00
Responsibilities
Define and evolve the enterprise AI strategy, architecture and roadmap across Databricks Mosaic AI, Amazon Bedrock, AgentCore, the enterprise model gateway and related services.
Architect the agentic runtime, including agent orchestration and mesh, MCP tool and skill registries, Agent-to-Agent interoperability, agent identity, entitlements and secure tool execution.
Design reusable context and knowledge services, including RAG and Graph RAG, vector stores, knowledge graphs such as Amazon Neptune, shared memory and context assembly.
Responsible for ensuring the integrity, accuracy, and reliability of supply chain data while driving AI and automation initiatives that streamline day-to-day operations.
Compensation
The anticipated base pay range for this position is : $96,000.00 - $155,250.00
Responsibilities
Establish, monitor, and enforce data quality standards, rules, and governance across supply chain systems
Proactively identify, investigate, and monitor data discrepancies, anomalies, and root causes affecting master data, transactional data, and reporting
Develop and maintain data quality dashboards, scorecards, and Key Performance Indicators to track health, completeness, and accuracy over time
Identify manual, repetitive, and error‑prone processes and support implementation of automation solutions (e.g., RPA, Power Automate, Python, SQL scripts, ETL pipelines)
Build, test, and deploy automated workflows that reduce cycle time and improve reliability of day‑to‑day supply chain operations
Requirements
Bachelor's degree in Supply Chain, Data Analytics, Information Systems, Engineering, or a related field
Nice to have: SAP S/4HANA
Nice to have: data governance frameworks
Nice to have: master data management (MDM) tools
Nice to have: cloud data platforms (Azure, AWS, Snowflake)
Establish patterns for LLMOps and MLOps, observability, evaluation, Responsible AI, security and AI cost management in partnership with platform and governance teams.
Create a discoverable catalog of AI services, models, agents, tools, skills and reference patterns that teams can reuse across the enterprise.
Requirements
Bachelor's degree in Computer Science, Engineering or a related technical field