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Full Time Scientific Software Developer Jobs in Portland, OR

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience * Minimum of 2 years leading software engineering teams that build cloud services, mobile ...

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience. * 10+ years of software engineering experience, including experience leading ...

Senior Principal Software Engineer

Beaverton, OR · On-site

$130K - $180K/yr

Bachelor's degree in Computer Science, Software Engineering or a related field * 14+ years hands-on software engineering experience * 5+ years experience as a Principal or Staff Engineer, accountable ...

Bachelor's or Master's degree in Computer Science, Software Engineering, or related field * 10+ years of software development experience, including significant leadership experience (Director or ...

Sr. Java AWS Developer

Beaverton, OR

$59.50 - $76/hr

Beaverton, OR Duration : 12+ months only W2- USC/GC Senior Software Engineer As a member of the ... Bachelor's degree in Computer Science or related field 5 years' experience using an object oriented ...

... Degree in Computer Science, Software Engineering, Information Systems, or any other related ... Job - Software Schedule - Full time Shift - Shift 1, 0% premium (United States of America) Travel ...

Embedded Software Engineer

OR · On-site

$139K - $183K/yr

Objective of role: The Embedded Software Engineer is responsible for the design, development ... and scientific methods to create robust, maintainable embedded solutions. • Modify existing ...

... scientific analysis, machine learning techniques, and mathematical models to predict and measure outcomes and consequences of design; develop or direct software system testing or validation ...

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

... software, libraries, and tools teams at NVIDIA. What we need to see: * A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Must have a Master's degree in Software Engineering, Computer Engineering, and Computer Science and 2 years of experience in the job offered or in a engineering- related occupation. Position requires ...

Senior Software Engineer

Portland, OR · On-site

$129K - $171K/yr

... craft of software engineering. We take a holistic approach to designing, engineering, and ... Undergrad or Masters in Computer Science or a related field. * Experience working with/setting up ...

Bachelorsdegree in Computer Science, Engineering, orarelated technical field with4+ years of ... Experienceas a software developer, architect, technology evangelist,developer advocate,technical ...

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Showing results 21-40

Full Time Scientific Software Developer information

See Portland, OR salary details

$88.6K

$108.7K

$143.7K

How much do full time scientific software developer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for full time scientific software developer in Portland, OR is $108,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $122,000.00 per year, depending on experience, location, and employer.

What are the typical collaboration patterns for a full time scientific software developer within research teams?

As a Full Time Scientific Software Developer, you will frequently collaborate with scientists, data analysts, and other developers to translate research needs into robust software solutions. This often involves participating in regular meetings to discuss project goals, reviewing experimental data, and iteratively refining code based on user feedback. Clear communication and the ability to understand complex scientific concepts are essential, as you may be responsible for bridging the gap between scientific theory and practical implementation. Collaboration tools like version control systems and project management platforms are commonly used to facilitate teamwork and track progress.

What does a full time scientific software developer do?

A Full Time Scientific Software Developer designs, develops, and maintains software applications used in scientific research and analysis. Their work often involves programming in languages like Python, C++, or MATLAB to create tools for data analysis, modeling, simulation, or visualization. They collaborate with scientists and researchers to understand their computational needs and translate them into robust, efficient software solutions. This role requires both strong software engineering skills and a solid understanding of the scientific domain they support.

What are the key skills and qualifications needed to thrive as a full time scientific software developer?

To thrive as a Full Time Scientific Software Developer, you need strong programming skills (often in languages like Python, C++, or Java), a solid foundation in scientific computing, and typically a degree in computer science, physics, mathematics, or a related field. Experience with scientific libraries (e.g., NumPy, SciPy), version control systems (like Git), and familiarity with high-performance computing or cloud platforms are commonly required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with researchers and conveying technical concepts. These skills and qualities are vital for developing reliable, efficient software solutions that advance scientific discovery and support interdisciplinary teams.
What are popular job titles related to Full Time Scientific Software Developer jobs in Portland, OR? For Full Time Scientific Software Developer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Full Time Scientific Software Developer jobs in Portland, OR look for? The top searched job categories for Full Time Scientific Software Developer jobs in Portland, OR are:

Software Architect - AI Workflow Architecture

Daimler Truck North America

Portland, OR • On-site

$117K - $150K/yr

Full-time

Medical, Retirement, PTO

Posted 5 days ago


Daimler Truck North America rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

2nd of 44 rated automakers


Job description

Inside the Role
As a Software Architect focused on AI-enabled workflow architecture, you will play a key role in defining scalable automation platforms, agentic workflow patterns, model-serving capabilities, and enterprise software integrations for complex engineering environments. You will design architecture building blocks that connect engineering systems, data sources, automation pipelines, and AI services into robust, maintainable, and governed end-to-end workflows. This role emphasizes system-level thinking, software architecture depth, and close collaboration with product, platform, validation, and software engineering teams to improve engineering productivity and delivery quality.
This position operates within the Software Verification and Release organization and supports global vehicle platforms, software-defined vehicle programs, and engineering automation initiatives.
Posting Information
We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.
We Take Care of Our Team
Position offers a starting salary range of $117,000 - $150,000 USD
Pay offered dependent on knowledge, skills, and experience.
Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age; starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans.
What You Will Do
  • Define reference architectures for AI-enabled workflow platforms, agent orchestration, automation pipelines, and enterprise engineering integrations
  • Design scalable software building blocks for workflow execution, model serving, tool integration, data exchange, observability, and lifecycle management
  • Develop architecture patterns that combine deterministic automation pipelines with AI-driven agents, human-in-the-loop review gates, and traceable decision points
  • Collaborate with product owners, software engineers, system engineers, data scientists, and platform teams to translate business needs into robust technical designs
  • Establish API-first, event-driven, and cloud-native integration approaches across engineering toolchains, enterprise systems, and automation services
  • Apply software engineering best practices including architecture governance, coding standards, source control, security, CI/CD, automated validation, and operational monitoring
  • Evaluate emerging AI, automation, and platform technologies and shape technical roadmaps for reusable workflow architecture capabilities
  • Analyze and design large-scale, distributed, and complex systems with a focus on maintainability, interoperability, reliability, security, scalability, and operational excellence
  • Provide technical leadership, mentoring, and architectural guidance to implementation teams working on AI-enabled workflows and engineering automation platforms

Knowledge You Should Bring
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or related technical field; advanced degree preferred
  • 8+ years of relevant experience in software architecture, distributed systems, enterprise application development, automation platforms, or engineering software systems
  • Strong programming and software design experience in modern languages such as Python, Java, C#, TypeScript, C/C++, or similar
  • Experience designing modular, maintainable, and scalable software components for workflow platforms, orchestration frameworks, enterprise integrations, or cloud-native systems
  • Understanding of AI-enabled software systems, including agentic workflows, model-serving patterns, prompt/tool orchestration, retrieval-augmented generation, evaluation, and governance
  • Experience with API design, event-driven architecture, microservices, data pipelines, CI/CD, infrastructure as code, observability, secure development, and production operations
  • Ability to integrate heterogeneous systems through REST APIs, event streams, workflow engines, data services, and enterprise integration patterns
  • Familiarity with software lifecycle, requirements management, test management, DevOps, release management, traceability, and quality practices in engineering environments
  • Strong analytical and communication skills with the ability to translate ambiguous business needs into clear architecture decisions and implementation guidance

Exceptional Candidates
  • Experience architecting enterprise AI platforms, multi-agent systems, autonomous workflow orchestration, or AI-enabled engineering automation at production scale
  • Experience with LLMOps/MLOps, model lifecycle management, model evaluation, safety guardrails, semantic validation, telemetry, and governance for AI-enabled applications
  • Experience designing event-driven orchestration across requirements management, test management, CI/CD, issue tracking, simulation, HiL/SiL, or validation
  • environments
  • Automotive software, Software Defined Vehicle, embedded systems, test automation, virtual validation, ECU.test, IBM ELM/ETM, Jira, GitHub, or comparable engineering toolchain experience
  • Ability to define reference architectures, technical roadmaps, platform standards, and reusable architectural patterns adopted across multiple teams and global engineering sites
  • Demonstrated leadership in complex cross-functional initiatives involving software architecture, data platforms, AI systems, cybersecurity, compliance, and change management

Behavioral Competencies
  • Strong collaboration skills across software, validation, platform, infrastructure, data, and product teams
  • Clear and structured communication of complex architecture topics to technical contributors and leadership audiences
  • Self-motivated, with a continuous improvement mindset and ability to operate in ambiguous, evolving technical environments
  • Pragmatic focus on business value, delivery outcomes, operational reliability, and long-term maintainability

#LI-DC1
#LI-HYBRID
Where We Work
This position is open to applicants who can work in (or relocate to) the following location(s)-
Portland, OR US. Relocation assistance is not available for this position.
Schedule Type:
Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.
At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we're building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA's legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future - building a cleaner, safer and more efficient tomorrow for all.
That is what we are working toward - for all who keep the world moving.
Additional Information
  • Visa sponsorship will only be open to current Daimler Truck North America employees working under an existing U.S. Daimler Truck North America Visa
  • All other applicants must be legally authorized to work permanently in the country the position is located in at the time of application
  • Final candidate must successfully complete a criminal background check
  • Final candidate may be required to successfully complete a pre-employment drug screen
  • Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions
  • EEO - Disabled/Veterans

Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status.
For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.

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