Software Engineer on the Motion Planning team at Zoox improving driving behavior of robots. Collaborating on algorithmic solutions for complex driving scenarios in urban environments.
About the role
- Lead and manage an engineering organization, overseeing team of developers to drive performance and innovation
- Build, support and mentor high-performing teams, fostering an environment that encourages professional growth and maximizes individual potential
- Write high-quality, maintainable code based on Agile user stories, including unit tests that comply with established coding standards and guidelines, while leveraging AI development productivity tools such as GitHub Copilot to enhance coding efficiency
- Integrate AI solutions into existing products and new developments, ensuring alignment with organizational goals and enhancing overall product functionality
- Collaborate closely with AI specialists to implement LLMs and AI-driven features, leveraging context engineering techniques to optimize model performance and usability
- Actively participate in the MMC Technology community, contributing to discussions, collaborations and learning opportunities related to AI and software development best practices
- Demonstrate strong problem-solving skills and promote the principles of code reuse and modular design across teams and the organization
- Advocate for best practices in software development and AI integration, ensuring that the team remains at the forefront of technological advancements
- Work in partnership with the Lead Test Engineer to develop and implement a robust Test Engineering Strategy that incorporates AI-driven testing tools and methodologies
- Champion agile practices that are foundational to successful product delivery, encouraging iterative development and continuous improvement
- Foster a diverse, inclusive, and collaborative work environment where all ideas and opinions are valued, promoting innovation and creativity
- Build strong relationships with product owners, solutions architects, analysts and leadership to ensure alignment with business objectives and the effective integration of AI capabilities into the development process
- Contribute to thought leadership and strategic direction for the Software Engineering organization
Requirements
- Overall IT experience in range of 10 – 15 years
- Minimum 12 months experience in D2/E grade
- Strong communication skills, enabling effective interaction with both technical and non-technical colleagues in a cross-functional environment.
- A successful history of delivering software across a diverse range of languages, technologies and platforms with a particular emphasis on AI integrations and their application in real-world scenarios
- Excellent collaboration skills to form & drive innovative teams that embrace AI and machine learning as integral components of the development process
- Experience in providing opportunities, training and mentorship to software engineers
- Familiarity with Agile at Scale, Lean and Continuous Delivery methodologies, including Continuous Integration, Test-Driven Development and Infrastructure as Code with an understanding of how these practices can enhance development
- Experience with cloud-native software architectures and deploying solutions in cloud environments, ensuring scalability and performance
- Proven experience in security-driven design practices, with the ability to address SAST/DAST findings effectively
- Proficiency in CI/CD and DevOps practices, including the use of Quality Gates to maintain high code quality
- Experience in troubleshooting and leveraging the observability ecosystem, particularly with Datadog, to enhance application performance and reliability
- Broad experience across multiple programming languages and frameworks with in-depth skills in at least one of the following: JavaScript, Typescript
- Strong experience in one or more of the following frameworks Angular, NodeJS, Express.JS, NestJS
- Experience working with the MEAN stack
- Experience with Unit Testing and Integration Testing is also essential
- Familiarity with AI frameworks and libraries (e.g., LangChain, FastMCP, etc.) is highly desirable
- Experience in either of the following middleware is desirable Kafka, Camunda (or any workflow tool), RabbitMQ
- Experience with container technologies such as Docker and Kubernetes
- Practiced experience refactoring, implementing design patterns, design driven development, continuous integration, system and application design, application security
- Strong experience working with an ORM Framework including the use of NOSQL databases such as Mongodb
- Strong Knowledge of SDLC processes and practices and experience with some or all of Confluence, JIRA, ADO, Github etc.
- Experience designing and deploying applications on cloud infrastructure with providers such as AWS or Microsoft Azure
Benefits
- A competitive salary
- Employee friendly policies
- Health care and insurance for you and your dependants
- Healthy Work life balance
- A great working environment
- Flexible benefits packages to suit your needs and lifestyle
- Future career opportunities across a global organisation
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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