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
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 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
- 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 $180,000 - $270.000 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
Software • Analytics • Hospitality
Supports cross-channel marketing attribution and influence modeling by documenting data sources, defining business rules, mapping and normalizing interaction data, testing reporting prototypes, and recommending implementation steps. The intern also assists with AWS marketing data organization, segmentation research, data hygiene, process documentation, and stakeholder communications. The role requires analytical thinking, thorough documentation, clear communication, and collaboration across marketing and technical teams.
Top Skills:
AWSData ModelingData VisualizationHubspotMarketing AutomationSalesforceSpreadsheetsSQL
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads partner-delivered incident response engagements, coordinating customers, partners, counsel, and CrowdStrike leadership. Oversees forensic investigations, project deliverables, executive communications, malware analysis, threat hunting, and security posture recommendations. Coaches partners on host and network forensics across Windows, macOS, and Linux. Reviews reports for quality, manages cross-functional workflows, improves internal processes, and maintains documentation and templates.
Top Skills:
AILinuxmacOSWindows
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Oversee partner-led incident response and forensic investigations, coordinating CrowdStrike, customers, legal counsel, and external responders. Review investigation quality, scope, findings, reports, and remediation recommendations. Coach partners on host and network forensics, malware analysis, threat hunting, and executive communications across Windows, macOS, Linux, and cloud environments. Support partner relationships, mentor responders, provide thought leadership, and help mature customer security postures.
Top Skills:
Ai TechnologiesAWSAzureBro/ZeekComputer ForensicsGCPIncident ResponseLinuxmacOSMalware AnalysisNetwork ForensicsReverse EngineeringSuricataWindows
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
