2

Full Time Engineering Jobs in Washington (NOW HIRING)

Full-time Description Company Overview: Impact Automation is a leading engineering and project management firm specializing in warehouse and logistic automation systems for Fortune 100 companies. We ...

Showing results 21-40

Full Time Engineering information

What is a full-time engineering job?

A full-time engineering job typically refers to a professional position in which an engineer works a standard workweek, usually around 40 hours, with benefits such as health insurance and paid time off. Engineers in these positions may specialize in fields like civil, mechanical, electrical, or software engineering, and are responsible for designing, building, testing, and maintaining systems or products. Full-time roles often provide more stability and opportunities for career advancement compared to part-time or contract positions.

What are the key skills and qualifications needed to thrive as a full-time engineer?

To thrive as a Full-Time Engineer, you need a solid background in engineering principles, analytical problem-solving, and a relevant degree such as a BS or MS in engineering. Familiarity with industry-standard software (e.g., AutoCAD, MATLAB, SolidWorks) and certifications like Professional Engineer (PE) are often required. Strong communication, teamwork, and adaptability are crucial soft skills for collaborating on complex projects and responding to challenges. These skills and qualifications ensure effective project execution, innovation, and the ability to meet organizational objectives in a competitive field.

What are some common challenges faced by full-time engineers when working on large, cross-functional projects?

Full-time engineers often encounter challenges such as coordinating with diverse teams, managing shifting project requirements, and balancing multiple priorities. Effective communication is crucial, as engineers frequently collaborate with product managers, designers, and other stakeholders to ensure project goals are met. Adapting to new technologies and keeping up with industry standards can also be demanding but provides valuable growth opportunities. Proactively seeking feedback and leveraging teamwork can help navigate these challenges and contribute to successful project outcomes.

What is the difference between Full Time Engineering vs Part Time Engineering?

AspectFull Time EngineeringPart Time Engineering
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
CredentialsUsually requires a bachelor's degree in engineeringMay require similar credentials but often less experience
Work EnvironmentFull-time employment in offices, labs, or on-siteFlexible or reduced hours, often remote or freelance
Employer UsageCompanies hiring full-time engineers for ongoing projectsOrganizations seeking part-time or project-based engineering support

Full Time Engineering involves working standard hours with benefits and job stability, while Part Time Engineering offers flexible hours with potentially less job security. Both roles require engineering credentials but differ mainly in hours and employment structure.

What are the most commonly searched types of Engineering jobs in Washington?

The most popular types of Engineering jobs in Washington are:

What cities in Washington are hiring for Full Time Engineering jobs?

Cities in Washington with the most Full Time Engineering job openings:

Infographic showing various Full Time Engineering job openings in Washington as of August 2026, with employment types broken down into 87% Full Time, 3% Part Time, 2% Temporary, 7% Contract, and 1% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Fall 2026 AI/ML Engineering Intern

Washington, DC โ€ข On-site

$19 - $24.75/hr

Full-time, Internship

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Key responsibilities

  • Ship ML and AI features inside NOS applications used for site evaluation, red flag analysis, scheduling, lessons learned, and project tools.

  • Build AI agents and workflows that operate against NOS data and tools, including MCP interfaces and tool-use frameworks.

  • Develop data pipelines and integrations across platforms like Palantir Foundry and AWS, and contribute to the data ontology for NOS data reliability.


Job description

The Nuclear Companyย is the fastest growing AI tech-startup in the nuclear and energy space, pioneering a fleet-scale approach to building the next generation of nuclear reactors. Through our design-once, build-many model, we're accelerating the deployment of safe, reliable, and affordable nuclear energy.

We operate with an AI-first mindset.ย Every employee is expected to leverage AI, technology, and the Nuclear Operating System (NOS) as integral components of their role to improve the quality, speed, and impact of their work. We expect every team member to continuously identify opportunities to automate workflows, enhance decision-making, improve processes, and contribute to the ongoing evolution of NOS as a strategic operating capability that enables The Nuclear Company to scale with excellence.

We hire people who are driven by purpose, thrive in ambiguity, and are energized by building what has never been built before.ย Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous learning, and holds themselves and others to exceptional standards. Our values-Trust, Responsibility, Unity, Scrappiness, and Tenacity-guide how we hire, collaborate, and make decisions every day. They are not words on a wall; they are the standard by which we operate. Trust is the foundation of our safety culture, fostering intellectual honesty, accountability, and open communication, while our values challenge every team member to execute with urgency, humility, resilience, and an unwavering commitment to our mission.

About the role

The United States is building nuclear power again, and The Nuclear Company is writing the software that makes it possible. NOS, the Nuclear Operating System, runs the regulatory, supply chain, cost, schedule, and field work behind real reactor construction. The work matters for national security, energy independence, andย the climate.ย 

You will build the AI that people use to build power plants. As an AI/ML Engineer Intern on the Platform Integration & AI/Data squad, you take real scope on the machine learning and agent capabilities inside NOS: LLM-driven workflows, retrieval-augmented generation, and agents that operate against NOS data and tools, plus the evals and monitoring that keep AI features safe in production. You work next to full-time engineers and nuclear domain experts, ship real models and features to production, and see your work put to use by the teams building plants.ย 

This is a six-month co-op available inย Fall 2026ย (August to December), aligned to the academic calendar. Base location is Washington DC, on-site five days a week, with full housing and relocation for co-ops outside the DC metro area.ย 

Responsibilities

  • Ship ML and AI features inside NOS applications teams use every day: site evaluation, red flag analysis, scheduling, lessons learned, and the stakeholder and project tools running across active TNC projects.ย 
  • Build AIย agentsย and agentย workflows thatย operateย against NOS data and tools,ย including the MCP interfacesย and tool-use frameworks they depend on.ย 
  • Develop dataย pipelines and integrations across Palantir Foundry, AWS GovCloud, and more - and contribute to the data ontology so models and agents can use NOS data reliably.ย ย 
  • Build predictive andย anomaly-detectionย models that support operations and engineering decisions, including time-series analysis of sensorย andย operational data from active projects.ย 
  • Helpย own model quality end-to-end:ย evalย criteria, acceptance thresholds, and regression suites that keep NOS audit-ready and results reproducible; triage issues and root-cause failures.ย 

Required Experienceย 

  • Currently enrolled in a BS in Computer Science,ย Machine Learning,ย Data Science,ย Statistics,ย Mathematics, or a related technical field. Available for a full six-month term and returning to school afterward.ย 
  • Strongย Python fundamentals and hands-on exposure to modern ML and LLM tooling (PyTorch, Hugging Face, or similar) through coursework or projects.ย 
  • A track recordย of shipping working softwareย or ML projects (course projects, personal projects, or prior internships or co-ops). We care about whatย you'veย built, not just whatย you'veย studied.ย 
  • This position requires access to information and technology subject to U.S. export controls (including DOE 10 CFR Part 810 and NRC requirements). U.S. Person status (U.S. citizen or lawful permanent resident) isย required, and TNC does not provide visa sponsorship for these roles.ย 
  • Willing and able to work on-site in Washington DC, five days a week, for the full six-month term.ย 

Preferred Experience

  • Hands-on experience with LLMs and agents:ย prompting,ย fine-tuning,ย retrieval-augmented generation,ย evals,ย or toolย use (MCP or similar frameworks).ย 
  • Coursework or project experience with Palantir Foundryย and AIP, AWS, or another major cloud platform - Foundry exposure is heavily weighted.ย 
  • Solid data fundamentals: comfortable doing exploratory data analysis and workingย withย large,ย messy datasets, including time-series or sensorย data.ย 
  • Exposure toย MLOpsย tooling (MLflow,ย SageMaker,ย Vertex AI) or CI/CD for models.ย 
  • Interest in energy, national security, industrial software, or regulated industries.ย 
  • Familiarity with nuclear engineering concepts (notย required,ย we teach the domain).

Benefits

  • Competitive compensation packages
  • 401k with company match
  • Medical, dental, vision plans
  • Generous vacation policy, plus holidays

Estimated Starting Salary Range

The estimated starting rate for this role is $25.00 an hour plus a $2,000 monthly housing stipend less applicable withholdings and deductions, paid on a bi-weekly basis. The actual pay offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role.ย 

EEO Statement
The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.

Export Control
Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.
ย 
Recruiting Fraud Alert
Your safety is our priority. We want to ensure your job search stays secure. Please note that the team at The Nuclear Company only communicates through official @thenuclearcompany.com email addresses. We will never ask for payments or sensitive financial information at any stage of our recruitment process. For your peace of mind, please verify all openings and submit your applications directly through our official careers page.