Machine Learning Compiler
$160K - $240K/yr
... language theory, and modern compiler techniques. * Oversee feature design, code reviews, and ... Expertise in ML frameworks (PyTorch, ONNX) and graph-level optimizations. * Familiarity with ML ...
$160K - $240K/yr
... language theory, and modern compiler techniques. * Oversee feature design, code reviews, and ... Expertise in ML frameworks (PyTorch, ONNX) and graph-level optimizations. * Familiarity with ML ...
$160K - $240K/yr
... language theory, and modern compiler techniques. * Oversee feature design, code reviews, and ... Expertise in ML frameworks (PyTorch, ONNX) and graph-level optimizations. * Familiarity with ML ...
Raleigh, NC · On-site
$160K - $240K/yr
... language theory, and modern compiler techniques. * Oversee feature design, code reviews, and ... Expertise in ML frameworks (PyTorch, ONNX) and graph-level optimizations. * Familiarity with ML ...
Raleigh, NC · On-site
$160K - $240K/yr
... language theory, and modern compiler techniques. * Oversee feature design, code reviews, and ... Expertise in ML frameworks (PyTorch, ONNX) and graph-level optimizations. * Familiarity with ML ...
Raleigh, NC · On-site
$119K - $157K/yr
Solid understanding of Machine Learning and Deep Learning theory * Experience working with one of ... Experience with optimizing software, specifically AI graph workloads, for embedded platforms
Raleigh, NC · On-site
$119K - $157K/yr
Solid understanding of Machine Learning and Deep Learning theory * Experience working with one of ... Experience with optimizing software, specifically AI graph workloads, for embedded platforms
$14.29 - $14.60
1% of jobs
$14.60 - $14.91
9% of jobs
$14.91 - $15.23
6% of jobs
$15.23 - $15.54
9% of jobs
$15.55 is the 25th percentile. Wages below this are outliers.
$15.54 - $15.86
9% of jobs
The median wage is $16.16 / hr.
$15.86 - $16.17
17% of jobs
$16.17 - $16.49
9% of jobs
$16.49 - $16.80
9% of jobs
$17.07 is the 75th percentile. Wages above this are outliers.
$16.80 - $17.11
9% of jobs
$17.11 - $17.43
17% of jobs
$17.43 - $17.74
6% of jobs
$14
$16
$17
To excel in a Graph Theory role, candidates typically need strong mathematical analysis skills, a background in discrete mathematics or computer science, and often an advanced degree such as a Master's or Ph.D. in a related field. Familiarity with programming languages such as Python or C++, alongside expertise in relevant computational libraries and algorithm development tools, is highly valued. Strong problem-solving abilities, attention to detail, and collaborative communication enhance performance in team-based research or applied project settings. These combined skills are critical for developing innovative solutions to complex problems and advancing the practical applications of graph theory across fields like network analysis, data science, and logistics.
A Graph Theory job involves applying mathematical concepts of graphs—nodes (vertices) connected by edges—to solve complex problems in computer science, data analysis, networking, and optimization. Professionals in this field work in areas such as cybersecurity, machine learning, bioinformatics, and logistics, designing algorithms and models for efficient processing of interconnected data. Roles may include research scientists, data scientists, software engineers, or operations researchers. Strong skills in discrete mathematics, algorithm design, and programming (e.g., Python, C++, or R) are typically required.
Professionals with expertise in Graph Theory are highly sought after in industries such as technology (especially in software development and artificial intelligence), telecommunications, logistics and transportation, and finance. They often work on optimizing networks, analyzing large data sets, designing algorithms, or modeling complex systems. These roles can be found at research institutions, universities, tech companies, and consulting firms. Depending on the industry, you may collaborate with data scientists, engineers, and other specialists to solve unique and impactful challenges.
9.6
Based on 5 frontline employees who took The Breakroom Quiz
4th of 186 rated software companies
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.
Technology, communication and media
10,000+ Employees
San Diego, CA, US
1985