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Tolling System Development Jobs in California (NOW HIRING)

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Key Responsibilities Core ML System Development * Design and implement machine learning models and ... You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here.

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Key Responsibilities Core ML System Development * Design and implement machine learning models and ... You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here.

Qualcomm

Camera System Engineer

San Diego, CA · On-site

$122K - $183K/yr

The engineer will work on algorithm development and end-to-end system integration to deliver ... You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here.

Epirus

Principal System Engineer (Contract)

Torrance, CA · On-site

$167K - $196K/yr

Lead the toll gate process from requirements to launch. * Ability to steer through ambiguity with ... Experience with Python development or other similar object-oriented languages * Experience working ...

Qualcomm

M/L Compiler Engineer

San Diego, CA · On-site

... system development and optimization with application to a specific problem domain in ML (e.g., NLP ... You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here.

Qualcomm

System Level Test Engineer

San Diego, CA · On-site

Engineer will also partner with development teams to create automated test content solutions that ... You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here.

Qualcomm

System Level Test Engineer

San Diego, CA · On-site

Engineer will also partner with development teams to create automated test content solutions that ... You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here.

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Tolling System Development information

What are the key skills and qualifications needed to thrive as a tolling system developer?

To thrive as a Tolling System Developer, you need strong software engineering skills, experience with real-time systems, and a background in transportation or traffic management technology. Familiarity with tools and technologies like RFID, ANPR (Automatic Number Plate Recognition), back-end databases, and industry standards such as ISO 18000 is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and addressing complex system requirements. These competencies ensure reliable, secure, and scalable tolling solutions that meet operational and regulatory demands.

What is the difference between Tolling System Development vs Tolling System Testing?

AspectTolling System DevelopmentTolling System Testing
Primary FocusDesigning, coding, and implementing tolling software and hardware systemsVerifying, validating, and ensuring the functionality and reliability of tolling systems
Required SkillsProgramming, system architecture, software engineeringTesting methodologies, quality assurance, troubleshooting
Work EnvironmentDevelopment labs, software teams, hardware integration sitesTesting labs, field testing locations, quality assurance teams
Industry UsageUsed by developers and engineers creating tolling solutionsUsed by testers and QA specialists to validate systems before deployment

While Tolling System Development involves creating and implementing tolling solutions, Tolling System Testing focuses on ensuring these systems work correctly and reliably. Both roles are essential in the tolling industry, with development laying the foundation and testing ensuring quality and performance.

What is tolling system development?

Tolling system development involves designing, creating, and maintaining electronic systems that collect tolls on roads, bridges, or tunnels. These systems use technologies like RFID, automatic number plate recognition (ANPR), and electronic payment processing to automate toll collection, improve traffic flow, and reduce operational costs. Professionals in this field work on both the hardware and software aspects, ensuring interoperability, security, and compliance with regulations. They may also integrate with traffic management and analytics platforms to provide real-time data and reporting.

What are some common challenges faced by professionals working in tolling system development?

Professionals in tolling system development often encounter challenges such as integrating complex hardware and software components, ensuring data accuracy for billing, and maintaining system reliability under high traffic volumes. Collaborating closely with cross-functional teams—including civil engineers, IT security specialists, and customer service representatives—is essential to address technical and operational issues quickly. Staying updated with evolving technologies and regulatory requirements is also crucial, as tolling systems frequently incorporate new payment methods and compliance standards.
What are popular job titles related to Tolling System Development jobs in California? For Tolling System Development jobs in California, the most frequently searched job titles are:
What job categories do people searching Tolling System Development jobs in California look for? The top searched job categories for Tolling System Development jobs in California are:
What cities in California are hiring for Tolling System Development jobs? Cities in California with the most Tolling System Development job openings:
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Infographic showing various Tolling System Development job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution.

Senior Engineer - Machine Learning

Qualcomm

San Diego, CA • On-site

$110K - $152K/yr

Full-time

Re-posted 7 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

51st of 242 rated software companies

Job description

Company:
Qualcomm Incorporated
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
We are seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning systems that power next-generation AI platforms and applications. This role focuses on model development, inference optimization, and scalable ML infrastructure, enabling production-grade AI capabilities across enterprise systems.
The ideal candidate combines strong software engineering fundamentals with deep ML expertise, and thrives in building robust, high-performance systems at scale.
Key Responsibilities
Core ML System Development
  • Design and implement machine learning models and pipelines for production use
  • Build scalable training → evaluation → deployment workflows
  • Develop reusable ML components, libraries, and frameworks

Inference & Performance Optimization
  • Optimize model inference for latency, throughput, and cost
  • Implement advanced techniques such as caching, quantization, batching, and routing
  • Benchmark and profile models across diverse workloads and hardware environments

Model Integration & Deployment
  • Integrate ML/LLM models into APIs, microservices, and applications
  • Build and maintain model-serving infrastructure (e.g., vLLM, ONNX, custom runtimes)
  • Collaborate with platform and infrastructure teams for scalable deployment

Data & Pipeline Engineering
  • Design data pipelines for ingestion, preprocessing, feature engineering, and validation
  • Improve data quality and model reliability through systematic evaluation

Cross-functional Collaboration
  • Partner with product, platform, and hardware teams to deliver end-to-end ML solutions
  • Participate in design reviews and contribute to system architecture decisions

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.
Preferred Qualifications
Strong programming skills in Python and at least one systems language (C++/Rust/Go)
Solid understanding of:
  • Machine learning fundamentals (supervised, unsupervised, deep learning)
  • Transformer architectures / LLMs
  • Model evaluation and debugging

Experience with:
  • ML frameworks (PyTorch, TensorFlow)
  • Model deployment and serving systems
  • Building scalable software and APIs

Experience with:
  • Large Language Models (LLMs), multimodal models, or generative AI
  • Retrieval systems and RAG pipelines
  • Distributed computing and GPU/accelerator environments including model serving and efficient cache/state management (e.g. KV cache, embeddings) across disaggregated systems
  • Kubernetes, Docker, and CI/CD pipelines
  • Agentic and multi-step AI workflows, tool integration, orchestration, and multi-component pipelines

Knowledge of:
  • Model optimization techniques (quantization, distillation, caching)
  • Vector databases and search systems (OpenSearch, Qdrant, etc.)
  • Cost-aware system design - model routing (small vs. large models), dynamic batching, and caching strategies

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.

What Qualcomm employees say

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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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