At Modular, we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and tackle some of the world’s most pressing challenges.
If you’re passionate about shaping the future of AI and creating tools that make a real difference in people’s lives, we want you on our team. You can read about our culture and careers to understand how we work and what we value.
At Modular, we are looking for a Lead Software Engineer in Test who will define and drive the strategy for quality across our engineering organization. This is a pivotal role shaping how Modular ensures product excellence as we build the future of AI infrastructure.
You will partner closely with engineering and product teams, develop a cohesive quality program, and guide the adoption of modern practices and tools. Your focus will be on driving measurable improvements in product quality through scalable, sustainable approaches.
LOCATION: Candidates based in the US or Canada are welcome to apply. You can work in our office in Los Altos, CA or remotely from home. Onboarding for new hires is conducted in-person in our Los Altos, CA office.
What you will do:- Design and develop Modular’s Quality Strategy, defining principles, priorities, and metrics that enable continuous improvement.
- Implement and develop an end-to-end full stack quality system with cross-team collaboration.
- Integrate with teams to collaborate in developing testing strategies.
- Proactively identify systemic risks to quality and coordinate initiatives to address them.
- Monitor, analyze, and improve the effectiveness of Modular’s quality-related processes (e.g., test nondeterminism, CI/CD performance, release readiness).
- Provide technical guidance and thought leadership in quality for Modular ML products.
- Experience ensuring quality in the domain of machine learning and numerical computing, with an understanding of the unique challenges in testing and validating these systems.
- Proven experience defining and implementing quality systems at scale.
- Devotion to quality and engineering excellence, with a track record of driving measurable improvements in product quality.
- Strong collaboration skills and ability to influence cross-functional teams, including product, engineering, and leadership stakeholders.
- Experience identifying and managing quality strategies across large software systems.
- Expertise with software delivery workflows and related tooling (e.g., build/test frameworks, static analysis, dependency management).
- Strong written and verbal communication skills, including the ability to articulate complex technical ideas and influence organizational change.
- Strongly identifies with our core company cultural values.
- Amazing Team. We are a progressive and agile team with some of the industry’s best engineering and product leaders.
- World-class Benefits. In order to attract the best, we need to offer the best. Premier insurance plans, up to 5% 401k matching, flexible paid time off, and more are available to you! Please note that specific benefit packages may vary based on your location.
- Competitive Compensation. We offer very strong compensation packages, including stock options. We want people to be focused on their best work and believe in tailoring compensation plans to meet the needs of our workforce.
- Team Building Events. We organize regular team onsites and local meetups in Los Altos, CA as well as different cities. Traveling 2-4 times a year is expected for all roles.
Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world.
The estimated base salary range for this role to be performed in the US, regardless of the state, is $234,000.00 - $286,000.00 USD.
The estimated base salary range for this role to be performed in Canada, regardless of the province, is $221,000.00 - $270,000.00 CAD.
The salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of your total compensation.
For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have openings that are lower/higher level than the ones advertised.
Modular is proud to emphasize an equal opportunity, safe environment for people to do their best work. Modular is an affirmative action employer. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you require reasonable accommodations to participate in the interview process, please let your recruiter know, and we will work with you to meet your needs in compliance with the ADA.
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.
Top Skills
Similar Jobs
.png)
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
