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The Graph Group Jobs (NOW HIRING)

Clera

Founding AI Engineer

San Francisco, CA · On-site

$150 - $200/hr

The company runs AI-powered small group hangouts every week, matching people into compatible groups ... Build a novel social graph grounded in real-world interaction data, processing millions of data ...

The University of Arizona

req26810

Tucson, AZ · On-site

Implementation of causal modeling, graph-based neural networks, and similar methods to model the ... Attend and participate in group and individual meetings with lab and consortium partners to ...

Alamo Group

Buyer

Selma, AL

Alamo Group Ag Americas, LLC . is currently recruiting for a Buyer tojoin the Alamo Group Ag ... Track and graph PPV actual versus budget goal. Submit any price change, via Price Change ...

Alamo Group

Buyer

Selma, AL · On-site

Alamo Group Ag Americas, Inc., a member of the Alamo Group family of companies, is the leading ... Track and graph PPV actual versus budget goal. Submit any price change, via Price Change ...

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The Graph Group information

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$25K

$88.9K

$149K

How much do the graph group jobs pay per year?

As of Aug 19, 2026, the average yearly pay for the graph group in the United States is $88,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is The Graph Group?

The Graph Group is a team or organization involved with The Graph, a decentralized protocol for indexing and querying blockchain data. The Graph Group may refer to the collective of professionals, developers, or contributors who work on improving and maintaining The Graph's ecosystem. Their work helps make it easier for decentralized applications (dApps) to efficiently access blockchain data. The group typically collaborates on protocol updates, community engagement, and supporting developers building on The Graph. Being part of The Graph Group often involves technical expertise in blockchain technology and a commitment to open-source principles.

What types of projects and collaborations can I expect as a team member at The Graph Group?

As a member of The Graph Group, you can expect to work on a variety of data-driven projects, often focusing on indexing blockchain data and building scalable, decentralized applications. Team members frequently collaborate cross-functionally with engineers, product managers, and community developers to design and implement new features, optimize data indexing, and ensure network reliability. The work environment encourages open communication and knowledge sharing, making it a great place to learn from domain experts while contributing to impactful, innovative solutions. You'll also engage with the broader blockchain community, helping to shape the future of decentralized data access.

What are the key skills and qualifications needed to thrive as a Graph Database Engineer, and why are they important?

To thrive as a Graph Database Engineer, you need strong knowledge of database design, query languages (such as Cypher or Gremlin), and a background in computer science or a related field. Familiarity with graph database platforms like Neo4j, Amazon Neptune, or Microsoft Azure Cosmos DB, as well as relevant certifications, is essential. Analytical thinking, problem-solving, and effective communication are soft skills that set top performers apart in this role. These skills and qualities are critical for efficiently modeling complex relationships, optimizing data retrieval, and collaborating with development teams to drive business insights.
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The Graph Group jobs near you
Infographic showing various The Graph Group job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $88,946 per year, or $42.8 per hour.

Sr Software Engineer, AI Tools - AI/ML Compiler

Qualcomm

San Diego, CA • On-site

$130K - $171K/yr

Full-time

Re-posted 28 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation AI experiences and drive agentic transformation, creating a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will develop and implement cutting-edge tools and solutions to enable state-of-the-art AI solutions across various technology verticals.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
This role is open to both San Diego, CA and Raleigh, NC and will be onsite full-time.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
What You'll Do
Graph Optimization Passes
  • Implement new ONNX graph optimization passes under technical guidance from senior engineers. Work spans pattern matching, dead code elimination, op fusion, reshape/transpose simplification, and layout transforms.
  • Extend existing passes to handle new operator patterns, edge cases, and opset variations.
  • Write rewrites that follow established compiler engineering practices for clarity, modularity, and testability.
Pattern Matching & Graph Rewriting
  • Write match logic that identifies specific subgraph shapes. This means inspecting op types, attributes, tensor shapes, and producer chains.
  • Implement rewrites that transform matched patterns. The rewrites need to preserve graph correctness and any metadata that downstream stages depend on, such as quantization information.
  • Reuse existing graph traversal and rewriting utilities rather than reimplementing common operations.
Testing & Validation
  • Write unit tests that exercise new passes against synthetic and real ONNX models. Use IR-level diff checks to confirm transformations produce the expected graph.
  • Validate transformations end-to-end using ONNX Runtime. Compare numerical outputs of the pre- and post-optimized models against tolerance thresholds.
  • Maintain and extend test fixtures as optimization coverage grows.
Cross-Functional Collaboration
  • Work closely with engineers on the optimizer team to ramp up on the codebase. Learn how compiler-style optimizations are designed and reviewed in production.
  • Coordinate with quantization and model preparation engineers. Understand how optimizer output flows into the rest of the deployment pipeline.

Minimum Qualifications
  • Experience in ML systems, model optimization, or inference engineering. Proficient in Python in large, typed codebases.
  • Strong written and verbal communication. Comfortable operating across AI compiler, AI research, and partner-facing teams.

Preferred Qualifications
  • Working knowledge of graph concepts: intermediate representations, graph traversal, pass-based optimization, pattern matching, and fixed-point iteration.
  • Familiarity with the ONNX format, operator semantics, and opset versioning. A strong willingness to ramp up quickly is fine if you don't have all of this yet.
  • Comfortable with graph algorithms - DFS/BFS, topological sort, basic dataflow analysis.
  • Exposure to ONNX Runtime, PyTorch, or another ML framework for model inspection and validation.
  • A working sense of model quantization is a plus.
  • Strong written and verbal communication. Comfortable asking questions, seeking feedback, and learning quickly from code review.
  • Experience using agentic coding tools such as GitHub Copilot, Cursor, Claude Code, Codeium, or similar AI-assisted development tools to improve coding productivity and problem-solving.

Level of Responsibility
  • Works on well-scoped optimization tasks under technical guidance from team members.
  • Receives mentorship and grows toward independent ownership of optimization passes and the surrounding test infrastructure.
  • Decisions have focused impact. They affect individual passes, test coverage, and pipeline correctness in the immediate area.
  • Communicates primarily within the optimizer team and adjacent teams (quantization, model preparation).

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$140,800.00 - $211,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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