ZipRecruiter

Log In

1

Software Developer Engineer Intern Jobs in Corvallis, OR

NuScale Power, LLC

Simulator Engineer 3

Corvallis, OR · On-site +1

Develops software in accordance with NuScale established procedures and processes to maintain ... S. degree in physics, engineering or other technical degree from an accredited college or ...

Mahantech

Senior Developer

Salem, OR · On-site

$54.75 - $72.25/hr

OIS seeks an experienced Senior Developer to support further development, enhancement, and ... Contractor's Key Person shall develop and deliver updates to eXPRS application, including software ...

Samaritan Health Services

Pharmacy Intern

Corvallis, OR · On-site

$27.84 - $40.88/hr

Performs the duties of Pharmacy Intern as prescribed by state and federal statutes, as well as ... software, including applications and programming. Possess proficient computer skills in writing, MS ...

Samaritan Health Services

Pharmacy Intern

Corvallis, OR · On-site

$17.25 - $21.50/hr

Performs the duties of Pharmacy Intern as prescribed by state and federal statutes, as well as ... software, including applications and programming. Possess proficient computer skills in writing, MS ...

Samaritan Health Services

Pharmacy Intern

Corvallis, OR · On-site

$17.25 - $21.50/hr

Performs the duties of Pharmacy Intern as prescribed by state and federal statutes, as well as ... software, including applications and programming. Possess proficient computer skills in writing, MS ...

previous page

Showing results 41-60

All JobsSoftware Developer Engineer Intern JobsSoftware Developer Engineer Intern Jobs in Corvallis, OR

Software Developer Engineer Intern information

See Corvallis, OR salary details

$11

$23

$40

How much do software developer engineer intern jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for software developer engineer intern in Corvallis, OR is $23.72, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $25.14 per hour, depending on experience, location, and employer.

What does a software developer engineer intern do?

A Software Developer Engineer Intern assists in designing, coding, testing, and debugging software applications under the guidance of experienced engineers. Interns typically work on real-world projects, collaborating with teams to develop new features or maintain existing systems. They gain practical experience with programming languages, development tools, and industry best practices while contributing to the company's technology goals. This role is an opportunity for students or recent graduates to apply their academic knowledge, learn from professionals, and prepare for a career in software engineering.

What are the key skills and qualifications needed to thrive as a software developer engineer intern?

To thrive as a Software Developer Engineer Intern, you need a solid understanding of programming languages (such as Java, Python, or C++), data structures, algorithms, and often enrollment in a computer science or related degree program. Familiarity with version control systems like Git, integrated development environments (IDEs), and sometimes cloud platforms or collaborative tools is common. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills set exceptional interns apart. These competencies are crucial for contributing to projects, adapting quickly, and maximizing learning opportunities in a fast-paced engineering environment.

What types of projects or tasks can I expect to work on as a software developer engineer intern?

As a Software Developer Engineer Intern, you can expect to work on real-world coding projects that contribute to your team's goals. Typical tasks may include developing new features, fixing bugs, writing automated tests, and participating in code reviews. You'll often collaborate with other engineers, product managers, and designers, gaining exposure to the full software development lifecycle. This hands-on experience helps you build technical skills, understand agile workflows, and develop effective communication within multidisciplinary teams.
Software Developer Engineer Intern jobs near you

Senior Software Engineer, AI/ML Platform

Agility Robotics

Salem, OR • On-site, Remote

$197K - $307K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About The Role

Join the team building the machine learning platform to power fleet-scale humanoid robotics. As a senior engineer on the ML Infrastructure and Platform group, you will help architect and build the foundational infrastructure for AI and machine learning operations at Agility. This includes the platform layer for data collection and processing, training, sim and real evaluation, and model management and observability.

Your work will empower our AI teams across perception, controls, skills, and innovation to build and deploy next-generation robot foundation models and end-to-end policies for humanoid robots by providing tools to develop and operationalize machine learning at scale. 

Key Responsibilities

Execution and Technical Ownership

    • Contribute to the design and implementation of the ML platform for orchestrating the end to end AI flywheel of data processing, training, evaluation, and deployment 
    • Develop reliable workflows across cloud compute, Kubernetes, and continuous automation
    • Build core infrastructure components such as the model registry, feature store and experiment tracking tooling.
    • Own developer-facing APIs and CLI tools that make ML workflows simple and reproducible. 
    • Implement the CI/CD lifecycle for ML that enable continuous retraining, automated testing, and seamless model delivery to production environments

Collaboration

    • Work closely with the Staff ML Infra Engineer and cross-functional stakeholders (AI researchers and robotics engineers) to understand requirements and translate them into scalable solutions/systems.
    • Partner with data platform engineers to integrate ML orchestration and metadata tracking tools with our existing data lake and pipelines.

Engineering Excellence, Growth and Impact: 

    • Apply MLOps best practices: reproducibility, lineage, rollback, monitoring and governance. 
    • Mentor junior engineers and influence the broader cloud platform organization's roadmap.
    • Contribute to internal discussions on platform architecture, reliability, and scalability alongside the broader ML and data platform team
What We're Aiming For (MLOps Level 2)
  • Version-controlled ML pipelines (data, code, and config)
  • Automated and reproducible model training and evaluation
  • Continuous integration and delivery for ML workflows
  • Centralized experiment tracking and performance visualization
  • Standardized model packaging and deployment to production
  • Monitoring of models post-deployment
Required Qualifications
  • 5+ years of software engineering experience, with at least 2+ years working on ML infrastructure, data platforms or MLOps systems in production environments.
  • Experience building and maintaining components of modern ML platforms—such as experiment tracking, model registries, training pipelines, or deployment systems
  • Familiarity with orchestration and tracking tools (MLflow, WandB, Airflow, Kubeflow, etc.)
  • Proficiency with cloud-native platforms (AWS, GCP, or Azure), containers, and IaC (e.g., CDK, Terraform)
  • Hands-on experience with processing or modeling multimodal data(sensor logs, camera streams, behaviour traces etc).
  • Comfortable collaborating cross-functionally with research scientists, data engineers, and robotics/autonomy teams to ship infrastructure used by others
Bonus Qualifications
  • Experience with robotics, autonomous vehicles, drones or embedded ML.
  • Contributions to open-source ML infrastructure or MLOps tooling a plus. 
Why This Role?
  • Build from the start Join at a pivotal moment - help shape the ML platform layer as its being defined, not inherited. 
  • High impact: Your work will directly enable faster, safer, and more intelligent robotic behaviors at scale
  • Technical Frontier: You will work directly on enabling the next frontier of AI in real production settings
  • Remote-friendly with a strong engineering culture and a fully distributed team.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Base Salary Range
$197,000—$307,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies.  We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page.  If you are represented by a third party, your application may not be considered.  To ensure full consideration, please apply directly.