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Software Engineer Training Jobs (NOW HIRING)

Baseten

Software Engineer - Training Product

New York, NY · On-site

$165K - $330K/yr

THE ROLE We're looking for a customer-obsessed software engineer to come ship with us. You'll own features like multi-node training and products like serverless reinforcement learning (RL) from ...

Agap Technologies

Data Engineer Training

Mesa, AZ

We offer a full suite of IT solutions and services, from custom software development to staffing ... We are offering online training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for ...

Agap Technologies

Data Engineer Training

Mesa, AZ · On-site

We offer a full suite of IT solutions and services, from custom software development to staffing ... training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for the 24 ...

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How much do software engineer training jobs pay per year?

As of Jul 5, 2026, the average yearly pay for software engineer training in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

Is 25 too late to become a software engineer?

Software engineering is a field open to individuals of all ages, and many successful engineers start their careers later in life. Age does not prevent learning programming languages, gaining relevant skills, or obtaining certifications; dedication and continuous learning are key factors for success in this profession.

What are the key skills and qualifications needed to thrive in the Software Engineer Training position, and why are they important?

To thrive as a Software Engineer Training, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and software development principles, often backed by a degree in computer science or related field. Familiarity with development tools like version control systems (e.g., Git), integrated development environments (IDEs), and continuous integration platforms is typically required. Strong problem-solving abilities, willingness to learn, and effective communication skills help you excel in collaborative and fast-paced environments. These skills are critical for contributing to projects, adapting to new technologies, and succeeding in a team-oriented role.

What engineer makes $500,000 a year?

Highly experienced software engineers, especially those in senior or lead roles at large tech companies or in specialized fields like machine learning or cybersecurity, can earn $500,000 or more annually. Such compensation often includes base salary, bonuses, stock options, and other incentives, and typically requires advanced skills, extensive experience, and a strong track record.

How to get a job as a software engineer with no experience?

To get a software engineer job with no experience, focus on building a strong portfolio of projects, learn relevant programming languages and tools, and gain practical skills through coding bootcamps or online courses. Internships, open-source contributions, and certifications can also improve your chances and demonstrate your abilities to employers.

What does the typical day look like for someone in a Software Engineer Training position?

As a Software Engineer Training, your day often starts with team stand-up meetings to discuss project updates and set priorities. You will spend most of your time learning from senior engineers, writing code, participating in code reviews, and troubleshooting software issues under guidance from mentors. Expect to engage in hands-on training activities, attend technical workshops, and gradually take on more complex tasks as your skills develop. This supportive environment is designed to help you build strong technical foundations, adapt to company workflows, and prepare for future advancement within the team.

What type of training do you need to be a software engineer?

To become a software engineer, individuals typically need a bachelor's degree in computer science, software engineering, or a related field. Practical skills in programming languages such as Java, Python, or C++, along with experience in software development tools and methodologies, are essential. Additional certifications or training in specific technologies can enhance job prospects.

What is a Software Engineer Training job?

A Software Engineer Training job is an entry-level position designed to help individuals develop technical skills and industry knowledge. It typically involves hands-on coding, software development projects, and mentorship from experienced engineers. Participants may work on real-world applications, learn best practices, and gain exposure to different technologies. The goal is to prepare trainees for a full-time software engineering role by building their problem-solving abilities and coding proficiency.

More about Software Engineer Training jobs
What cities are hiring for Software Engineer Training jobs? Cities with the most Software Engineer Training job openings:
What are the most commonly searched types of Software Engineer Training jobs? The most popular types of Software Engineer Training jobs are:
What states have the most Software Engineer Training jobs? States with the most job openings for Software Engineer Training jobs include:
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Software Engineer Training jobs near you
Infographic showing various Software Engineer Training job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $104,863 per year, or $50.4 per hour.
Software Engineer, Training Platform

Software Engineer, Training Platform

Anduril Industries

Washington, DC • On-site

$220K - $292K/yr

Full-time

Posted 5 days ago

Anduril rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Anduril's Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. Anduril's Frontier AI team builds edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy.
ABOUT THE JOB
Anduril is looking for a full-stack software engineer to build the Frontier AI Agent Platform: the internal product used to train, evaluate, observe, compare, and deploy AI agents across the company. This role sits at the intersection of product engineering, ML infrastructure, evaluation tooling, and operational reporting. You will build the workflows and interfaces that help ML researchers, software engineers, test and evaluation teams, and program stakeholders understand how agents perform and whether they are ready for mission-critical use.
WHAT YOU'LL DO
  • Build full-stack applications for Anduril's Frontier AI Agent Platform, including frontend interfaces, backend APIs, workflows, dashboards, metrics, and reporting tools.
  • Create user-facing applications for ML researchers, software engineers, test and evaluation teams, and technical program stakeholders.
  • Design and implement backend APIs for launching training runs, configuring evaluations, tracking experiments, observing agent behavior, and comparing performance across models, agents, policies, and baselines.
  • Build clear, reliable workflows for evaluating AI agents across simulations, test harnesses, mission scenarios, and production-like environments.
  • Develop metrics and reporting interfaces that make complex evaluation results understandable, actionable, and trustworthy.
  • Partner with ML engineers and domain teams to translate ambiguous evaluation needs into intuitive product experiences.
  • Build observability and debugging tools that help teams inspect agent trajectories, tool calls, model outputs, failure modes, regressions, and deployment readiness.
  • Create reporting surfaces that allow technical and non-technical stakeholders to compare approaches and make informed tradeoffs.
REQUIRED QUALIFICATIONS
  • Strong full-stack engineering experience building production web applications, internal tools, or developer platforms.
  • Proven experience developing modern web user interfaces using React and JavaScript or TypeScript.
  • Experience designing and implementing backend APIs, including REST, gRPC, or similar service interfaces.
  • Ability to build user-friendly metrics, dashboards, and reporting workflows that accurately represent complex evals, training runs, experiments, and deployments.
  • Strong product judgment: able to turn messy technical workflows into clear interfaces that users can trust.
  • Ability to work closely with ML researchers, software engineers, and test and evaluation teams to understand their workflows and build reusable platform capabilities.
  • Strong engineering fundamentals around reliability, observability, data modeling, API design, and maintainable system architecture.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.
PREFERRED QUALIFICATIONS
  • Experience building ML platforms, experiment tracking tools, evaluation dashboards, simulation tooling, or internal developer platforms.
  • Familiarity with LLM agents, reinforcement learning, post-training workflows, model evaluation, or agent observability.
  • Experience with metrics design, data visualization, experiment comparison, or decision-support tooling.
  • Experience with Kubernetes, Docker, workflow orchestration, distributed systems, or cloud infrastructure.
  • Familiarity with defense, robotics, autonomy, command-and-control, test and evaluation, or operational planning domains.

US Salary Range
$220,000-$292,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
  • No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
  • Please always verify communications:
    • Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
    • Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
  • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
  • What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

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About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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