If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience, and improve people's lives: this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

To meet the growing needs of the Customer analytics business, the team is looking for a self-motivated, technically proficient individual to craft and shepherd coherent solutions. This will require collaboration with a range of stakeholders to clarify requirements, establish pragmatic approaches, and support and articulate decisions over time. You will join a cloud architecture team that works closely with engineering teams and other architects across the organisation.

Responsibilities

Technical Requirements

• Extensive experience with Google Cloud Platform (GCP), specifically BigQuery, Vertex AI, Dataflow, Dataproc, Cloud Run, CloudSQL, Spanner and Apigee.

• Security & Networking: Strong understanding of cloud security protocols, IAM, encryption, and complex network topologies.

• Data Management: Proficiency in Enterprise Data Platforms, Data mesh architecture and data-driven architectural patterns.

• DevOps Tooling: Hands-on experience with GitHub, SonarQube, Checkmarx, and FOSSA.

• Software Engineering: Strong background in building Web Services and maintaining Clean Code standards.

Technical Leadership & Strategy

• System Design: Work with engineering teams to refine system designs, evangelising for horizontal scalability, resilience, and Clean Code compliance.

• Product Collaboration: Partner with Product Managers to decompose complex business needs into incremental, production-ready user stories within an Agile/Sprint methodology.

• Architectural Governance: Assess and document the rationale and tradeoffs for technical decisions; contribute to the broader Cloud Architecture team to improve global practices.

• DevOps Excellence: Utilise and improve CI/CD pipelines using GitHub and automated testing/security tools to maximise deployment efficiency and minimise risk.

Cloud, Networking & Security

• Secure Infrastructure: Serve as the primary architect for cloud solutions, ensuring 'Secure-by-Design' principles are applied across Google Cloud services (Dataflow, Dataproc, CloudRun, CloudSQL, Spanner).

• Advanced Networking: Design and optimise cloud networking configurations, including VPCs, Service Controls, Load Balancing, and Private Service Connect to ensure high availability and low latency.

• Cyber Security Oversight: Integrate security scanning and compliance into the architecture (utilising Checkmarx, SonarQube, and FOSSA). Proactively address vulnerabilities in distributed systems and AI models (e.g., OWASP Top 10 for LLMs).

• API & Data Contracts: Bolster 'Data as a Product' practices by enforcing strict API standards and data contracts to ensure seamless, secure interoperability between services.

• FinOps & Cost Optimisation: Drive fiscal responsibility by right-sizing GCP resources and optimising Generative AI architectures (token management/model selection) to maximise ROI.

• SRE & Performance Tuning: Apply Site Reliability Engineering principles to ensure high availability, minimise system latency, and lead root-cause analysis for complex, distributed system failures.

• DevSecOps & Problem Solving: Integrate security automation into CI/CD pipelines to ensure 'Secure-by-Design' deployments while solving complex architectural trade-offs between speed, scale, and risk.

• Continuous Learning: Stay at the forefront of AI research, specifically regarding autonomous agents, prompt engineering etc

Nice to Have

• AI development tools and frameworks (e.g., LangChain, LangGraph, or Agent Dev Kit) to accelerate the delivery of intelligent applications.

• Agentic & GenAI Design: Lead the architectural design of Agentic AI systems (multi-agent orchestration) and Generative AI solutions, including Retrieval-Augmented Generation (RAG) patterns and LLM integration.

• Kubernetes (GKE): Experience managing containerised workloads at scale.

• Kafka/Event-Driven Design: Experience with high-throughput messaging and event-driven architectures.

• MLOps: Familiarity with the end-to-end lifecycle of machine learning models in production.

Qualifications

You'll have...

• Requires a bachelor's or foreign equivalent degree in computer science, information technology or a technology related field

• 5+ years of Software engineering experience using Java or Python developing services (APIs, REST, etc.)

• 2+ years of experience with Google Cloud Platform or other cloud service provider (AWS, Azure, etc.) and associated cloud components.

• Experience designing/architecting and running distributed systems in a production environment

• STRONG communications skills and cognitive agility - ability to engage in deep technical discussions with customers and peers, become a trusted technical advisor, and maintain good documentation

Even better, you may have...

• Master's degree in computer science, electrical engineering or a closely related field of study

• Familiarity with a breadth of programming languages, platforms, and systems

• Experience with asynchronous messaging and eventually consistent system design

• An agile, pragmatic, and empirical mindset

• Critical thinking, decision-making and leadership aptitudes

• Good organisational and problem-solving abilities

• MDM, Entity Resolution, Customer Analytics and Marketing Analytics experience is a huge plus.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidised back-up child care and more

• Vehicle discount programme for employees and family members, and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year's Day

• Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary

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We are looking for a highly motivated Senior Software Systems Engineer with a strong foundation in software architecture. This role is ideal for someone who thrives on working across multiple layers of the software stack to drive modularization, improve abstraction, and enable extensibility and reuse.

You will play a key role in evolving the platform to support efficient integration and scalability in a complex multi-OEM environment.

Responsibilities:

• Drive architectural improvements that simplify and modularize the software stack.
• Design clean boundaries between NVIDIA core components and OEM-specific implementations.
• Refactor ADAS components to support reuse, extensibility, and long-term maintainability.
• Improve system-level scalability through IPC, middleware, and platform abstraction layers.
• Partner with teams across software, systems, and hardware to define clear interfaces and improve integration velocity.
• Establish test coverage, design reviews, and architectural documentation that scales with the platform.
• Profile and tune system performance , optimize for modern multi-core and real-time environments.

Requirements:

• Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field (or equivalent experience).
• 8+ years of professional software development experience.
• Solid background in C and C++ programming.
• Strong understanding of modular software architecture, clean code design, and separation of concerns.
• Hands-on experience building and debugging multithreaded, real-time, or performance-critical systems.
• Familiarity with parallel/distributed systems and low-level system profiling.
• Comfortable working in Linux, QNX, or other embedded RTOS environments.
• Exceptional communication skills and a collaborative, hard-working attitude.

Nice to Have:

• Experience developing ADAS software.
• Deep understanding of real-time operating systems, particularly QNX.
• Familiarity with the automotive software lifecycle and integration across safety-critical systems.
• Experience using Git and Bazel in large-scale software environments.
• Ability to work across system, hardware, and algorithm teams with precision and clarity.

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Design, configure, and maintain CI/CD pipelines to support automated test execution.

Contribute actively within a Scrum and SAFe development environment.

Develop and automate functional and non-functional tests for both UI and API layers.

Create and maintain clear and comprehensive test documentation.

Work closely with business stakeholders to define and implement value-driven tests.

As a Test Automation Engineer at MHP, you will continuously grow with your projects and objectives in an innovative and supportive environment. You will be part of a team that values diversity, creativity, and unconventional thinking patterns.

Key responsibilities include:

• Developing and evolving the existing test automation framework

• Designing, configuring, and maintaining CI/CD pipelines

• Contributing actively within a Scrum and SAFe development environment

• Developing and automating functional and non-functional tests

• Creating and maintaining clear and comprehensive test documentation

• Working closely with business stakeholders to define and implement value-driven tests

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and experienced Test Automation Engineer looking for a new challenge, please submit your application.

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SpruceID builds privacy-preserving, standards-based digital identity and credentialing solutions that give individuals control of their information while enabling governments and enterprises to deliver secure, interoperable services.

The Opportunity

We're looking for multiple Full-Stack Engineers to join our forward-deployed engineering team. You'll work alongside experienced engineers and directly with state governments, public sector partners, and enterprise clients to help design, build, and deploy impactful identity solutions. This is an ideal role for a recent graduate who wants to grow quickly while working on technology that matters. You'll gain hands-on experience across the full stack, learn from senior engineers, and contribute to systems that serve millions of people.

This is a fully remote role open to candidates based in the United States.

Responsibilities

• Collaborate with customer delivery leads, engineers, and UX designers on real-world deployments.
• Build full-stack features for state governments and public sector partners, with guidance from senior engineers.
• Learn to translate customer requirements into technical solutions and production-ready systems.
• Develop backend services and web applications that meet public sector security, privacy, and accessibility standards.
• Contribute to codebases spanning backend, mobile, and browser environments.
• Participate in customer deployments and learn the full lifecycle of software delivery.
• Engage with open identity standards and privacy-focused engineering practices.

Our Commitment to Your Growth

We believe in investing in early-career engineers. As a new grad at SpruceID, you'll receive:

• Dedicated mentorship from senior engineers who will guide your technical development.
• Structured onboarding to get you up to speed on our stack, our standards, and our customers.
• Regular 1:1s and feedback to help you set and achieve career goals.
• Opportunities to own projects as you grow, with appropriate support and guardrails.
• Exposure to the full product lifecycle,from customer discovery to production deployment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (recent graduates welcome).
• Foundational experience with backend development in a statically typed language (Rust, Go, C#, Java, or similar),coursework, internships, or personal projects count.
• Demonstrated ability to learn quickly and work collaboratively.
• Strong communication skills and genuine interest in working with customers and stakeholders.
• Appreciation for open-source software, clean code, and thoughtful engineering.
• Based in the U.S. (or willing to relocate without visa assistance - TN are ok) and excited to contribute to impactful public sector work.

Nice to Have

• Internship or project experience in full-stack development.
• Exposure to cloud platforms (AWS, GCP, or Azure) through coursework or side projects.
• Interest in digital identity, cryptography, data privacy, or security.
• Familiarity with modern web frontends (React, TypeScript, or similar).
• Familiarity with databases (PostgreSQL), APIs (REST or GraphQL), or CI/CD concepts.
• Contributions to open-source projects or hackathon participation.
• Coursework or interest in accessibility, usability, or inclusive design.
• Any exposure to government technology, civic tech, or high-compliance environments.

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Your responsibilities will include participating in code reviews, providing constructive feedback, and incorporating feedback from senior developers, writing unit and integration tests to ensure reliability and prevent regressions, documenting code, APIs, and architectural decisions, developing and maintaining CI/CD pipelines using GitHub Actions to automate build, test, and deployment, creating and maintaining reusable GitHub Actions workflows and composite actions, partnering with IT to maintain and improve DevOps infrastructure, and monitoring and troubleshooting pipeline failures to ensure reliable delivery.

To succeed in this role, you'll need to be currently pursuing a master's degree in Computer Science, Software Engineering, or a related field, have a solid understanding of Python programming, familiarity with SOLID principles and software design patterns, experience with web frameworks, knowledge of microservices architecture concepts, proficiency with version control using Git, experience with containerization tools such as Docker, exposure to CI/CD pipelines, especially with GitHub Actions, strong written and verbal communication skills, ability to collaborate effectively in a team environment, eagerness to learn new technologies and adapt to changing requirements, and openness to give and receive constructive feedback.

This internship is a full-time position (35 hours/week) with a start date of ASAP. Synopsys is committed to creating an inclusive workplace and is an equal opportunity employer.

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