Full-Time
Software Engineer 4
AI & Digital Engineering
Updated on 9/12/2026
X-energy
1,001-5,000 employees
Develops SMR reactors and TRISO fuel
Compensation Overview
$180k - $205k/yr
Rockville, MD, USA
Hybrid
Three days in the Rockville-area office per week; travel up to 10% as needed.
Bachelor's
 Software Engineering (1) |
|---|
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- A bachelor's degree in Computer Science, Artificial Intelligence, Systems Engineering, Engineering, or a related field from an accredited university or college.
- Typically ten years of relevant software engineering experience, including experience in one or more specialization tracks.
- Experience with Git, GitLab, continuous integration and continuous delivery, and modern development workflows.
- Proficiency with Jira, Confluence, and AI-enhanced development environments such as Claude Code or similar tools.
- Experience working in collaborative, fast-paced development teams.
- Ability to explain complex technical concepts to technical and non-technical audiences.
- Ability to work a hybrid schedule in the Rockville, Maryland office on Tuesday, Wednesday, and Thursday.
- Track A applicants need working knowledge of React, TypeScript, and modern JavaScript development; experience with Vite, Bun, and Tailwind CSS; proficiency implementing WebSockets and REST APIs; a background developing user interfaces for technical or engineering applications; and experience with AWS services for web-application deployment.
- Track B applicants need working knowledge of modern large language models, agentic architectures, and multi-turn agent workflows; hands-on experience with at least one of AWS Bedrock, AWS Strands, LangChain, LangGraph, or LlamaIndex; working knowledge of retrieval-augmented generation and Graph-RAG; proficiency in TypeScript and Python; familiarity with Node.js/Express and a Python web framework; familiarity with AI evaluation methodology and evaluation pipelines; and working understanding of AWS AI services, particularly AWS Bedrock.
- Track C applicants need experience designing and implementing data lakes or lakehouses and extract, transform, and load processes; experience with AWS data services; working experience with an open table format; experience designing canonical data models; experience building production extract, transform, and load pipelines and connectors; hands-on experience integrating an enterprise engineering system with a data platform; familiarity with identity federation, B2B authentication, and engineering data-interchange formats; and working understanding of data security, classification, lineage, and governance.
- Track D applicants need hands-on experience with Docker containerization; experience administering GitLab continuous integration and continuous delivery systems; working proficiency with AWS, particularly ECS, ECR, VPC, and Terraform; experience managing AWS data services; experience with release engineering and deployment automation; knowledge of monitoring and observability tools and cloud-based alerting; and proficiency with Linux and/or macOS command-line environments and container orchestration services.
- Develop production-ready artificial intelligence solutions in a tiger-team environment.
- Use Claude Code and AI-assisted development tools for development, prompt iteration, and maintenance.
- Apply large language model and artificial intelligence systems knowledge to the platform's AI-native architecture.
- Partner with systems-engineering, licensing, and quality-assurance organizations to ensure solutions and AI-generated artifacts meet nuclear-engineering and regulatory expectations.
- Document solutions, architecture decisions, and integration patterns, and support knowledge transfer.
- Implement development best practices and quality standards.
- Perform work according to X-energy quality assurance procedures.
- Design and implement user interfaces with React, TypeScript, Tailwind CSS, and Vite.
- Develop full-stack solutions connecting front-end interfaces to AWS backend services including Lambda, ECS, and DynamoDB.
- Create responsive dashboards and visualization tools for engineering workflows and AI agent interactions.
- Implement real-time communication through WebSockets and REST APIs.
- Implement secure authentication and authorization systems.
- Create and maintain continuous integration and continuous delivery pipelines for web applications.
- Build proof-of-concept demonstrations and conduct user acceptance testing.
- Design and implement autonomous agent architectures using AWS Bedrock and related services.
- Develop multi-turn agentic workflows involving reasoning, planning, memory management, and tool calling.
- Implement retrieval-augmented generation and Graph-RAG systems using Amazon Neptune or equivalent knowledge-graph infrastructure.
- Build AI applications for requirements extraction and classification, traceability-gap detection, verification-artifact generation, design-review assistance, and cross-discipline consistency checking.
- Develop workflows using LangChain, LangGraph, and AWS Strands with safety and alignment controls.
- Curate golden datasets and benchmarks evaluating AI outputs against engineering ground truth.
- Develop Model Context Protocol tools exposing engineering systems, reasoning capabilities, and agent workflows.
- Design and build an AWS-native data lakehouse or Common Data Environment using S3, Apache Iceberg, AWS Glue Data Catalog, Lake Formation, and Athena.
- Contribute to the canonical engineering data model and schema governance.
- Implement data classification, lineage, provenance tracking, and governed access controls.
- Build change-data-capture and event-driven pipelines using EventBridge, AWS Database Migration Service, Kinesis, and Glue streaming.
- Integrate customer, partner, and supplier engineering systems with X-energy's platform and lakehouse.
- Parse, normalize, and map specialized engineering data formats.
- Support identity federation design and enforce export-control and data-residency requirements at integration boundaries.
- Define API contracts and versioning strategies, and monitor and troubleshoot cross-organizational data flows.
- Build data-quality standards, validation pipelines, and metric dashboards.
- Design, build, and maintain containerized applications using Docker.
- Develop and maintain GitLab continuous integration and continuous delivery pipelines.
- Support AWS infrastructure architecture using Terraform, ECS, ECR, VPC, EC2, and load balancers.
- Administer AWS data services including DocumentDB, OpenSearch, Redis, Aurora Postgres, DynamoDB, and S3.
- Implement monitoring, alerting, and observability solutions using Datadog and CloudWatch.
- Contribute to release engineering, deployment automation, rollback procedures, and cloud development lifecycle practices.
- Create testing frameworks for serverless environments and configure container orchestration services.
- Implement versioning and governance for code and dependencies.
- Optimize application performance, troubleshoot production issues, and implement infrastructure improvements.
- Participate in on-call rotation for system reliability and incident response.
- Contribute to technical specifications and roadmaps, serve as a technical point of contact, track product metrics, evaluate AWS services, produce architecture diagrams and API documentation, participate in technical reviews and code walkthroughs, and develop technical prototypes.
- Experience in the nuclear energy, aerospace, defense, or another highly regulated technical industry, including familiarity with Nuclear Regulatory Commission workflows.
- Prior experience contributing to AI products or internal platforms for engineering, manufacturing, or scientific use cases.
- Working literacy in digital engineering, requirements, model-based systems engineering, ISO 19650 information management, digital thread, traceability, and verification and validation.
- Familiarity with Cameo Systems Modeler, Capella, or equivalent model-based systems engineering tools.
- Experience integrating product lifecycle management and requirements systems with platforms.
- Familiarity with graph databases such as Amazon Neptune and Neo4j.
- Familiarity with NQA-1, 10 CFR 50 Appendix B, AWS GovCloud, FedRAMP-authorized services, ITAR, EAR, or 10 CFR 810 export controls.
- Exposure to Model Context Protocol tool development.
- Familiarity with Idaho National Laboratory's Deep Lynx, Nexus, or similar nuclear digital-engineering frameworks.
- INCOSE ASEP or CSEP certification and prior open-source contributions to AI, model-based systems engineering, or digital-engineering tooling.
X-energy designs and develops advanced nuclear reactors and fuel, aiming to commercialize small modular reactors based on a Generation IV high-temperature gas-cooled pebble-bed design and its TRISO-X fuel. The reactor uses ceramic-coated TRISO fuel in pebbles within a modular, sealed unit that operates at high temperatures to generate electricity or process heat, with safety features baked into the fuel and design. It differentiates itself by pursuing a specific Generation IV high-temperature gas-cooled, pebble-bed, TRISO-X fuel approach in a modular platform backed by significant financing to move toward commercialization. The company’s goal is to bring cleaner, safer nuclear energy to the market by completing design, obtaining regulatory clearance, and deploying its SMR technology and fuel at commercial scale.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
Rockville, Maryland
Founded
2009
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Simplify's Take
What believers are saying
- DOE raised ARDP support to $2.115 billion on August 13, 2026.
- NRC issued Dow's Texas environmental FONSI on May 18, 2026, advancing construction.
- Q2 2026 revenue and grant income rose 154% to $54.6 million; cash hit $1.9 billion.
What critics are saying
- Dow's permit still awaits late-2026 NRC review, pushing first power into early 2030s.
- X-energy lost $59.1 million in Q2 2026 and burned $97.3 million operationally.
- One Seadrift, TX-1, or Centrus delay freezes commercialization and guts the 11.5-gigawatt pipeline.
What makes X-energy unique
- Xe-100 and TRISO-X integrate reactor and fuel, creating tight supply control.
- NRC approved TX-1's Part 70 license in February 2026, first in 50 years.
- SGL's January 2026 graphite deal and Centrus's August 2026 contract de-risk inputs.
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Benefits
401(k) Retirement Plan
Health Insurance
Dental Insurance
Vision Insurance
Paid Time Off
Tuition Reimbursement/Professional Development
Growth & Insights and Company News
6 month growth
↑ 5%1 year growth
↑ 11%2 year growth
↑ 7%Sargent & Lundy environmental review earns NRC approval. Firm supports first-of-a-kind project to deploy advanced reactor to power industrial facility August 27, 2026 Based on Sargent & Lundy's detailed environmental review, a proposed 320-megawatt small modular reactor to power an industrial facility along Texas' Gulf Coast surpassed another major milestone in gaining Nuclear Regulatory Commission approval. The NRC recently completed an environmental assessment for Long Mott Energy, a wholly owned subsidiary of The Dow Chemical Company, and X-energy's application to build a first-of-a-kind advanced reactor to power an industrial manufacturing facility in Seadrift, Texas. Following its review, the agency issued a finding of no significant impact, propelling the project forward in the construction permit approval process. The NRC finding comes less than a year after LME, with support from Sargent & Lundy and its project partner WSP, filed the environmental report. The more than 1,000-page report covers the proposed plant's design and operations, as well as its land use, air, water, ecology, socioeconomic conditions, and other potential impacts. The NRC issued few requests for additional information based on the level of detail and due diligence included and was able to determine that an environmental assessment "better addresses the project's limited environmental footprint at an existing industrial location" and allowed for "more efficient review while maintaining rigorous environmental standards." Sargent & Lundy has worked with X-energy and Dow since 2022 to support pre-application activities, including site selection, site feasibility, site characterization, and developing the recently approved environmental report. The firm has also supported the preliminary safety analysis report, which is now under NRC review and is expected to be completed by year-end. The proposed Long Mott Generating Station, being developed by LME under the Department of Energy's Advanced Reactor Demonstration Program, would replace the company's existing energy and steam generation plants that are nearing the end of their operating life spans. The plant would be the first grid-scale advanced nuclear reactor deployed to serve an industrial site in North America and would provide both electricity and high-temperature industrial steam. Dow produces more than 4 billion pounds of plastics and other materials at the Seadrift plant for multiple industries and is seeking a safe, reliable way to reduce the facility's emissions.
X-Energy is positioning its Xe-100 small modular reactor to meet growing power demands from AI infrastructure. The company is working with Dow, Amazon, and Centrica to provide long-term, reliable energy for data centres and industrial operations. The Xe-100 is designed as an 80 MW electric reactor deployed in four-unit blocks to reach 320 MW. X-Energy has an indicative pipeline of approximately 11.5 GW across 144 reactors in the US and UK. The company, with a market capitalisation of about $7.8 billion, reported a Q2 2026 net loss of $59.09 million. However, it generated revenue of $54.6 million for the quarter and $98.02 million for the half year. The key test for X-Energy's AI-focused strategy will be whether anchor customers commit to full financial close and construction start on multi-reactor sites.
TRISO-X, a subsidiary of X-Energy, has started the next construction phase at its advanced nuclear fuel fabrication facility in Oak Ridge, Tennessee. The work includes building auxiliary structures and installing equipment at the 214,000 square-foot plant. Once operational, the facility will produce 700,000 TRISO-X pebbles annually, equivalent to 5 metric tons of uranium, sufficient to fuel up to 11 Xe-100 reactors. It will be the first commercial facility in the US dedicated to fabricating tristructural-isotropic fuel for advanced reactors. The US Nuclear Regulatory Commission has granted TRISO-X a 40-year licence, marking the first Category 2 nuclear fuel facility authorised to process High Assay Low Enriched Uranium. The plant supports X-energy's reactor deployment at Dow's Texas site through the Advanced Reactor Demonstration Program.
X-energy has invested $8 million in SGL Carbon for the development of high-tech graphite for use in advanced nuclear reactors. The investment positions SGL Carbon in a growth market with long-term potential. Industry experts and larger investor groups recognise the potential in the partnership with X-energy. Institutional investors have begun adjusting their positions accordingly. The German carbon and graphite specialist is focusing on applications in next-generation nuclear technology, a sector attracting increasing attention from institutional capital.
The US Department of Energy has committed up to $1 billion in additional funding for X-energy's advanced nuclear project with Dow in Seadrift, Texas. This brings total federal funding available since 2021 to $21.5 billion through the Advanced Reactor Demonstration Program. The project will deploy Xe-100 reactors at Dow's petrochemical facility to provide both electricity and industrial process steam, replacing existing energy systems. The facility aims to become North America's first grid-scale advanced nuclear installation serving a large industrial site directly. The Xe-100 is a high-temperature gas-cooled small modular reactor, with four units planned to deliver 320 MWe capacity. Long Mott Energy submitted a construction permit application to the Nuclear Regulatory Commission in March 2025, with operations targeted for the early 2030s. Funding follows a 50/50 cost-sharing model requiring matching private investment to share commercialisation risks.