Develop and mature the LLDB-based Mojo debugger, including interactive debugging, IDE integration, debug information, expression evaluation, GPU debugging, profiling, and MCP capabilities. Define the debugger roadmap, collaborate with compiler and developer relations teams, engage the developer community, and support open-source contributions. The role requires LLDB internals expertise and strong knowledge of debuggers, linkers, compilers, and systems programming.
About Modular
About the role:
What you will do:
What you bring to the table:
What qualities would make you successful here:
What you can expect
Minimum Qualifications
What Modular brings to the table:
At Modular, a Qualcomm company, 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.
Mojo is a new systems programming language, designed from scratch for the AI era. Mojo language, compiler and SDK are being rapidly built by a team of talented engineers here at Modular. Mojo development team is looking to expand and hire a Senior Staff Debugging Engineer.
LOCATION: Candidates based in the United States 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.
- Drive the development of the Mojo LLDB-based debugger, taking it from a current experimental project to a fully mature debugger to delight Mojo developers
- You will be working on interactive debugging, IDE integration, debug info formats, expression evaluator and other parts of the debugging experience.
- As the product evolves, you will have the opportunity to work on other projects, like GPU debugging, agentic debugging and debugger MCP, profiling support, and many other exciting novel features
- Your input will be critical to define the roadmap of the Mojo debugger and overall tooling
- In collaboration with the developer relations and the rest of the Mojo compiler team, you will be involved with the Mojo developer community, discussing features, capturing use cases, and directing open-source contributors.
- Required: experience working in the LLDB debugger internals, such as maintenance, porting, or extending for a new language
- Strong plus: Experience working with community or developer relation teams.
- Strong plus: history of contributing to other development tools or projects
What qualities would make you successful here:
- You must be self-motivated and comfortable with ambiguity
- You understand developer experience, can listen and be pragmatic about what is important vs what is nice to have
- You are prepared to dive deep into systems programming
- You are knowledgeable with debuggers, linkers, compilers and other development tools
- Agency to define direction and drive development for the nascent Mojo language and its ecosystem
- You will work with talented and driven people
- Most of your work will be in open source, visible to the world
- A fast paced, objective-driven environment were anyone can contribute to anything
- Bachelor's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 6+ years of Software Engineering or related work experience. OR
- Master's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 5+ years of Software Engineering or related work experience. OR
- PhD in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering or related work experience. AND
- 3+ years of work experience with Programming Language such as Python, Mojo, Rust, C++, etc.
- 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. Your benefits package may include comprehensive healthcare coverage, retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities. Please note that specific benefit packages may vary based on your location, you can read more about benefits offered by Qualcomm here.
- Competitive Compensation. We offer very strong compensation packages, including RSU grants. 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 $216,000 - $324.000 USD.
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 upcoming openings that are lower/higher level than the ones advertised.
Similar Jobs
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Leads cross-functional sales strategy and enablement initiatives across multiple business units. Translates performance challenges into revenue and EBITDA growth strategies, supports account planning and product adoption, improves sales visibility and productivity, manages project risks, and communicates progress to senior stakeholders. Partners with sales, finance, analytics, training, and optimization teams to execute high-priority initiatives with minimal oversight.
Top Skills:
ExcelMicrosoft PowerpointPower BISalesforceTableau
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manages and grows an assigned dealer-client book of business through consultative field sales. Develops retention and revenue strategies, sells Cox Automotive inventory and wholesale solutions, identifies cross-selling opportunities, collaborates with marketing and sales teams, and helps clients transact digitally and in-lane. The role requires frequent client-site visits, approximately 80% travel, Salesforce proficiency, automotive or auction knowledge, and achievement of sales quotas.
Top Skills:
Salesforce
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Leads cross-functional sales strategy and enablement initiatives across multiple business units. Translates performance challenges into strategies that improve revenue, EBITDA, productivity, account planning, product adoption, client visibility, and retention. Partners with sales, training, analytics, finance, and optimization teams; manages project risks, communicates progress, and delivers initiatives independently. Requires strong analytical, project leadership, stakeholder management, and sales operations skills.
Top Skills:
ExcelMicrosoft PowerpointPower BISalesforceTableau
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
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
