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Head of Software and AI Platform (US/KR) - Palo Alto California
Company: Slab Inc.
Location: Palo Alto, California
Posted On: 11/10/2024
As a head of Software and AI Platform at Gauss Labs, you will lead a strong team of software engineers. You will be responsible for leading the software development of multiple AI software products. Our platform is mission-critical and requires deep system and software expertise. You need to have the ability to work with ambiguous and difficult challenges in our fast-moving startup environment.You will have opportunities to lead the development of large-scale software products with AI technologies and deploy them to the manufacturing industry. You will significantly influence our overall strategy by helping define these product features, drive the system and cloud infrastructure, and spearhead the best practices that enable a quality product. You will lead the long-term strategy and solution for challenging technical and business problems. You will be working with passionate and talented software engineers and AI engineers. You will be able to lead a team that builds, invents, evolves, scales, and maintains distributed software systems for manufacturing AI.You are the ideal candidate if you enjoy finding solutions to challenging problems, working with other teams to build scalable solutions, and growing the career of your team of engineers. You should be able to thrive and succeed in an entrepreneurial environment and not be hindered by ambiguity or competing priorities. We seek candidates with a demonstrated track record of success in delivering new features and products for mission-critical services. Creating reliable, scalable, and high-performance products requires exceptional technical expertise, a sound understanding of computer science fundamentals, and practical experience building large-scale systems. This means you will drive high-level strategic initiatives and build mechanisms to keep programs on track, dive deeper, and get the job done. A commitment to teamwork and strong communication skills with technical and business partners are essential requirements. It includes working closely with product managers and TPMs.Responsibilities - Own the design, development, testing, deployment, and operation of manufacturing AI software products.
- Be responsible for ensuring the quality of architecture and operational excellence and delivering the best results on time.
- Take responsibility for end-to-end development with high standards in all aspects of software design, coding, code reviews, tests, DevOps to process improvements, and team building.
- Lead a team of strong software engineers with varying levels of seniority, providing mentorship and career growth opportunities.
- Provide technical direction to the team and influence the technical direction of stakeholder teams, establishing and executing short and long-term architectural roadmaps.
- Advise and consult with software and AI engineers on design and architecture, demonstrating part team leadership, part technical leadership, and part hands-on.
- Play a key role in planning, designing, and delivering multiple AI software product lines, partnering with product managers and TPMs.
- Collaborate with interdisciplinary, diverse, and geographically dispersed teams.
- Be the spokesperson for the software engineering team internally and, sometimes, to our customers, supporting customer and account management activities.
- Hire and mentor software/system engineers and actively participate in developing their careers.Key Qualifications
- BS/MS degree in Computer Science and Engineering or related domain.
- 10+ years of industry experience in building/deploying large-scale production systems.
- 5+ years of managing engineering teams, working through multiple levels from mentoring junior engineers to influencing technical leadership.
- Excellent project management skills, including experience with Agile methodologies and practices.
- Knowledge of engineering practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Development experience in a cloud service environment such as Amazon AWS, MS Azure, and Google Cloud Platform, as well as on-premise Kubernetes clusters in highly secure environments.
- Hands-on experience programming in Python, Java, C++, Go, Rust, or other programming languages.
- Ability to anticipate problems, identify risks, see around corners, and scope large projects.
- Ability to translate informal customer requirements into technical problem definitions, dealing with ambiguity and competing objectives.
- Experience partnering with product or program management teams.Preferred Qualifications
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