Source One Technical Solutions

About the Company

Source One Technical Solutions is a leading provider of professionals for consulting opportunities in the areas of Information Technology, Scientific and Engineering. We service clients in the Pharmaceutical, Telecommunications, Financial Services, Retail & Manufacturing, and Health Care industries. Our strength lies in our in-depth client analysis and employee selection process enabling us to accurately assess our employee's skills and successfully match them to our client's needs. In addition, our senior-level recruiting staff is particularly adept at forecasting technology needs, strategizing, and pipelining these individuals into our database. Once a partnership has been formed, the Source One recruiting staff will proactively maintain a network of qualified candidates, matching both the technical and interpersonal skills required by this particular client environment. This enables us to establish strong, lasting business relationships. Conceived with the client in mind, we offer a strong corporate support and value system with decentralized management principles. Our flexibility and entrepreneurial beliefs empower our local management teams to provide timely, cost effective and creative solutions to individual market and client demands. Source One Technical Solutions is a WBENC certified company.

Listed Jobs

Company Name

Source One Technical Solutions

Job Title

Senior Research Software Engineer

Job Description

Job title: Senior Research Software Engineer – Human Behavior and Carbon Neutrality (Contract) Role Summary Design, develop, and deploy web and mobile applications that support human‑subjects research and data analysis. Collaborate with scientists, engineers, and cross‑functional teams to create interactive prototypes, manage backend services, and facilitate A/B testing and AI/ML model training. Expectations - Deliver end‑to‑end software solutions within academic/industry research timelines. - Maintain code quality, security, and infrastructure compliance. - Participate in iterative prototyping to address evolving research questions. - Communicate clear progress, challenges, and results to multidisciplinary stakeholders. Key Responsibilities - Design and build scalable backend services on AWS (ECS, S3, CDK/CloudFormation, SageMaker, DynamoDB). - Develop RESTful APIs using FastAPI and Python. - Implement front‑end interfaces with JavaScript (and frameworks as needed). - Support Android and iOS mobile back‑end integration. - Coordinate with engineering teams for deployment, monitoring, and information security. - Conduct A/B experiments and manage model training workflows. - Estimate project schedules and track deliverables independently. - Mentor junior research software engineers within the HCAl team. Required Skills - 5+ years of software development in research or academic/industrial environment. - Proficiency in AWS services and IaC (CDK/CloudFormation). - Strong Python skills; experience with FastAPI and other frameworks. - Front‑end development experience (JavaScript, HTML/CSS). - Familiarity with machine‑learning libraries (TensorFlow, PyTorch, scikit‑learn, SageMaker). - Prototyping mindset: deliver functional “good‑enough” solutions quickly. - Excellent written, verbal, and visual communication. - Ability to work independently in a collaborative, interdisciplinary setting. Required Education & Certifications - Bachelor’s degree (or equivalent) in Computer Science, Software Engineering, Data Science, or related field. - AWS certification (Solutions Architect, Developer, or equivalent) preferred.

Los altos, United states

Remote

Senior

24-09-2025

Company Name

Source One Technical Solutions

Job Title

Embedded Software Engineer - Automotive

Job Description

**Job Title:** Vehicle Software Platform Engineer (Embedded Software Engineer – Automotive) **Role Summary:** Design, develop, test, and ship robust, scalable software platforms that support autonomous and assisted driving (AD/ADAS) in modern vehicles. The role requires deep embedded systems expertise, hands‑on problem solving, and close collaboration with cross‑functional engineering teams. **Expectations:** - Deliver production‑ready software for automotive or adjacent high‑integrity domains. - Maintain a high standard of safety, reliability, and extensibility in all design decisions. - Continuously learn and apply new technologies across the stack (OS, hardware, sensors). **Key Responsibilities:** 1. Design, implement, test, and integrate AD/ADAS platform features. 2. Configure and optimize build systems and related tooling for efficient development and deployment. 3. Debug and troubleshoot software running on embedded, real‑time operating systems (Linux, QNX). 4. Develop drivers, file systems, sockets, and other system software components. 5. Interface with automotive communication protocols (CAN, Ethernet, etc.). 6. Collaborate with hardware, sensor, and vehicle integration teams to ensure seamless end‑to‑end operation. **Required Skills:** - C++ (advanced) and Python proficiency. - Strong embedded software experience in automotive, aerospace, or robotics. - Proficiency with automotive communication standards (CAN, Ethernet). - System software development on Linux/QNX: drivers, file systems, sockets. - Proven record of shipping software to production in automotive or related domains. - Excellent debugging, troubleshooting, and problem‑resolution skills. - Ability to rapidly learn new technologies and apply them effectively. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related field. ---

Ann arbor, United states

On site

Junior

18-11-2025

Company Name

Source One Technical Solutions

Job Title

Senior ML/AI Engineer

Job Description

**Job Title:** Senior ML/AI Engineer (Contract) **Role Summary:** Lead the design, development, and deployment of machine learning features for autonomous vehicle systems. Build reusable Python-based software components and frameworks, work closely with hardware and sensor integration teams, and ensure robust, scalable solutions that meet real-time performance requirements. **Expactations:** - Deliver high‑quality, production‑ready ML models and code. - Own end‑to‑end ML feature lifecycle from research to deployment. - Communicate effectively across multidisciplinary teams, independent and proactive. - Continuously learn and apply best practices in AI/ML, software engineering, and automotive systems. **Key Responsibilities:** - Architect and implement machine learning pipelines, algorithms, and models in Python. - Collaborate with hardware/software engineers to integrate models onto edge devices and vehicle platforms. - Design and maintain reusable frameworks, libraries, and toolchains. - Conduct rigorous testing: unit tests, cross‑validation, robustness evaluation, and performance benchmarking. - Automate build, test, and deployment processes using CI/CD tools (e.g., GitHub Actions, Jenkins). - Mentor junior engineers and share knowledge on ML best practices. - Work with limited high‑level guidance to navigate technical ambiguity and deliver results. **Required Skills:** - 5+ years professional software development experience. - Strong background in supervised and unsupervised learning methods. - Expertise in deploying ML models to hardware platforms (embedded/edge). - Proficiency in time‑series signal processing and computer vision. - Writing scalable, reusable Python code and developing unit tests. - Experience with CI/CD pipelines (GitHub Actions, Jenkins). - Generalist mindset with a willingness to learn across the technology stack. - Excellent problem‑solving, communication, and collaboration skills. **Required Education & Certifications:** - Bachelor’s degree in Engineering, Computer Science, or related field. - Master’s degree or higher in AI/ML is a strong plus. - Professional certifications in machine learning, data science, or related domains are advantageous.

Ann arbor, United states

On site

Senior

20-11-2025

Company Name

Source One Technical Solutions

Job Title

Salesforce Marketing Cloud Analyst

Job Description

**Job Title** Salesforce Marketing Cloud Analyst (Contract) **Role Summary** Lead the design, implementation, and optimization of cross‑channel digital engagement solutions using Salesforce Marketing Cloud (SFMC). Serve as the primary technical liaison between marketing, product, and engineering teams, driving end‑to‑end campaign delivery and platform enhancements. **Expectations** - Deliver scalable, personalized customer journeys across email, SMS, mobile push, and SDK channels. - Translate business requirements into functional specifications, user stories, and technical documentation. - Guide large‑scale SFMC enhancements and integrations with external systems. - Ensure data governance, privacy compliance, and robust performance analytics. **Key Responsibilities** - Conduct stakeholder discovery sessions to capture business goals and technical needs. - Architect and deploy comprehensive engagement solutions utilizing Journey Builder, Automation Studio, Contact Builder, Mobile Studio, and Personalization Builder. - Configure HTML/CSS templates, SQL data extensions, and automation scripts directly within SFMC. - Lead end‑to‑end testing (UAT, go‑live) and troubleshoot campaign issues. - Build proofs of concept for new digital initiatives and perform A/B testing to optimize performance. - Maintain dashboards, reporting, and documentation for audit readiness. - Oversee compliance with opt‑in/opt‑out workflows and data governance policies. **Required Skills** - 10+ years in CRM/Marketing technology; 5+ years specifically in SFMC. - Deep expertise in SFMC modules: Journey Builder, Automation Studio, Email Studio, Mobile Studio, Contact Builder, Personalization Builder, Mobile SDK. - Experience designing cross‑channel campaigns (email, SMS, push, mobile). - Proficiency in SQL, HTML/CSS, and SFMC scripting (AMPscript, SSJS). - Strong analytical ability to interpret engagement metrics and iterate journey design. - Excellent requirements gathering, documentation, and stakeholder communication. - Familiarity with Salesforce ecosystem integrations (Service Cloud, CDP/Data Cloud, MuleSoft). **Required Education & Certifications** - Bachelor’s or Master’s degree in Marketing, Business, Computer Science, or related field. - Salesforce certifications: Marketing Cloud Consultant or Administrator preferred (or equivalent validated experience).

Foster city, United states

On site

Senior

01-12-2025