Staff Software Engineer

About the Role: As a Senior Staff Software Engineer, you will be a technical leader responsible for designing and implementing complex software systems that often form the backbone for our AI capabilities. You will tackle challenging technical problems, mentor other engineers, and influence the technical direction of our products, particularly concerning scalability, performance, and integration with AI models. This role is for highly experienced engineers who are passionate about innovation and excellence in building sophisticated software systems., * Design, develop, and maintain scalable, high-performance, and reliable software systems that support AI model training, inference, and data processing pipelines.

• Provide technical leadership and mentorship to other engineers, guiding them on complex technical challenges and best practices.
• Drive architectural decisions and promote best engineering practices across teams, focusing on building robust and maintainable systems for AI applications.
• Lead the design and implementation of core components and features that enable the integration and deployment of AI models.
• Collaborate with cross-functional teams, including AI researchers and ML engineers, to translate research prototypes into production-ready software.
• Troubleshoot and resolve complex technical issues affecting critical systems.
• Evaluate and recommend new technologies and approaches to improve the scalability, performance, and efficiency of our software infrastructure for AI.
• Contribute to technical strategy and planning.

• Minimum 6-8+ years of hands-on software development experience, often 10+ years for this level, with a focus on building complex, large-scale systems.
• Deep expertise in one or more programming languages (e.g., Java, Python, C++, Go) and extensive experience in system design and architecture.
• Proven track record of leading complex technical projects and successfully delivering high-quality software solutions in a production environment.
• Experience with distributed systems, microservices, and cloud platforms (AWS, Azure, GCP).
• Understanding of the challenges and patterns involved in integrating and deploying machine learning models into production systems.
• Strong problem-solving skills and ability to think strategically about technical challenges and their impact on the broader system.
• Excellent communication and collaboration skills, with the ability to influence technical direction and mentor other engineers.

• 401(k) with company match
• Professional Development Stipend
• Comprehensive Health, Dental, and Vision Insurance
• Flexible Work Arrangements (Hybrid/Remote options)
• Stock Options or RSU program
• Generous Paid Time Off and Holidays
• Paid Parental Leave

Full Time

509977277

Technology

Stealth Startups