Senior Software Engineer

As a Senior Software Engineer at our South San Francisco location, you'll have diverse responsibilities, including building and optimizing the CVML software stack, profiling and improving performance, and re-architecting legacy code. Your role will also involve managing infrastructure automation, enhancing test coverage, and writing high-performance C++ code while ensuring effective collaboration within the team.

To apply for the Senior Software Engineer position, candidates should ideally possess a BS or MS in Computer Science or a related field, along with at least 5 years of software engineering experience. Advanced skills in C++ and Python are essential, alongside strong scripting capabilities, especially in Bash. Familiarity with CI/CD processes, cloud computing platforms, and Linux environments is also highly valued.

The salary for a Senior Software Engineer at our South San Francisco office ranges from $90,000 to $150,000 per year, depending on experience and location. This competitive compensation reflects the importance of the role in supporting our CVML initiatives and acknowledges the expertise required for impactful contributions.

Preferred qualifications for the Senior Software Engineer position include experience with Python C++ extension packaging, knowledge of Docker containerization, and familiarity with the Nvidia Jetson platform. Exposure to cloud computing platforms such as GCP, AWS, or Azure would further enhance a candidate's profile.

The Senior Software Engineer plays a critical role in advancing computer vision and machine learning projects by developing and optimizing the underlying software infrastructure that supports these initiatives. By enhancing performance, improving code maintainability, and enabling deep learning workflows, this position directly contributes to the company's ability to tackle complex, data-driven challenges.

When answering this, focus on specific projects where you've identified performance bottlenecks and the strategies you've implemented to resolve them. Be prepared to discuss the tools and methodologies you used, such as profiling software or code reviews, and share measurable outcomes that resulted from your optimizations.

It's important to demonstrate your understanding of refactoring techniques, modularization, and maintaining clarity when talking about legacy code. Discuss your experiences with re-architecting code for better maintainability and how you've communicated changes effectively to your team.

Provide insight into your approach by mentioning specific testing frameworks you've used, along with your commitment to writing unit tests. Highlight your experience with automation tools and CI/CD practices that contribute to robust testing strategies.

Highlight your familiarity with cloud platforms like AWS, GCP, or Azure, and give examples of how you've leveraged these environments to deploy applications or manage resources effectively. Discuss scalability considerations and any cloud-specific challenges you overcame.

Talk about your coding practices and principles that guide your work in C++. Mention optimization techniques you employ while maintaining readability, such as algorithm selection or resource management. Real-world examples of where you applied these principles can enhance your answer.

Share your experience with CI/CD tools like Jenkins or Travis CI, and explain how you've integrated these into your development workflow. Illustrate how you've used automation to streamline deployment processes and improve overall software quality.

Discuss specific deep learning projects you've contributed to and the tools or frameworks you've used, such as TensorFlow or PyTorch. Be sure to mention any nuances of automating and managing data pipelines that you handled in these workflows.

Mention your commitment to lifelong learning through blogs, industry publications, online courses, or tech meetups. Bringing examples of new technologies you've tried or implemented can demonstrate your proactive approach and curiosity.

Provide a specific instance that showcases your problem-solving skills. Discuss the problem, the steps you took, and the outcome, focusing on your approach to teamwork and collaboration if applicable.

Share your methods for prioritizing tasks, such as the use of Agile methodologies or project management tools. Emphasize your ability to assess urgency, impact, and resources when making decisions about task prioritization.