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Entry Level Mastercard Software Engineer Jobs in Riverside, CA

Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware ... We are recruiting across a wide range of experience levels from entry level engineers to senior and ...

Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware ... We are recruiting across a wide range of experience levels from entry level engineers to senior and ...

Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware ... We are recruiting across a wide range of experience levels from entry level engineers to senior and ...

... entry level position would involve assignments of limited scope and complexity; work supervised in ... Experience with desktop and industry-specific software (e.g., MSOffice, AutoCAD, and MSProject ...

... entry level position would involve assignments of limited scope and complexity; work supervised in ... Experience with desktop and industry-specific software (e.g., MSOffice, AutoCAD, and MSProject ...

Civil Design Engineer

Santa Ana, CA · On-site

$60K - $80K/yr

Use AutoCAD software to establish horizontal and vertical alignments, profiles, cross sections and ... B.S. in Civil Engineering with 1 to 3 years' experience in civil engineering field. (Entry level ...

Early Career Civil/Geotechnical Engineer

Irvine, CA · On-site

$88K - $110K/yr

Perform routine geotechnical engineering functions and provide entry-level technical assistance on ... Basic proficiency with technical writing, office automation, software, spreadsheets, technology ...

... engineers, operators, and staff can work efficiently with minimal downtime ... Duties & Responsibilities • Provide first-level IT support for hardware, software, network, and ...

Early Career Civil/Geotechnical Engineer

Irvine, CA · On-site

$88K - $110K/yr

Perform routine geotechnical engineering functions and provide entry-level technical assistance on ... Basic proficiency with technical writing, office automation, software, spreadsheets, technology ...

... engineers, operators, and staff can work efficiently with minimal downtime ... Duties & Responsibilities • Provide first-level IT support for hardware, software, network, and ...

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Entry Level Mastercard Software Engineer information

See Riverside, CA salary details

$25K

$109.4K

$197.2K

How much do entry level mastercard software engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for entry level mastercard software engineer in Riverside, CA is $109,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,800.00 and $125,200.00 per year, depending on experience, location, and employer.

What opportunities for mentorship and professional development can entry-level Mastercard Software Engineers expect?

At Mastercard, entry-level Software Engineers are supported through structured mentorship programs and regular technical training sessions. New hires typically work within agile teams, collaborating closely with experienced engineers who provide guidance and feedback on coding practices and project work. Mastercard encourages ongoing learning through access to internal workshops, online courses, and opportunities to participate in hackathons or innovation challenges. This environment helps entry-level engineers quickly build their skills, gain exposure to various technologies, and prepare for advanced roles within the company.

What is the difference between Entry Level Mastercard Software Engineer vs Entry Level Mastercard Software Developer?

AspectEntry Level Mastercard Software EngineerEntry Level Mastercard Software Developer
Required CredentialsBachelor's in Computer Science or related field; some roles may prefer internships or certificationsBachelor's in Computer Science or related field; coding bootcamps or certifications can be advantageous
Work EnvironmentCollaborative teams within financial services and technology sectors, often in corporate officesDevelopment teams in financial institutions or tech companies, with focus on coding and application development
Employer & Industry UsageCommonly used in banking, finance, and fintech industriesWidely used in banking, fintech, and software development firms

Both roles typically require similar educational backgrounds and work in financial technology environments. The main difference lies in job focus: engineers often involve more system architecture and technical problem-solving, while developers focus on coding and application creation. Both positions are entry-level and suitable for recent graduates or those new to the industry.

What does an Entry Level Mastercard Software Engineer do?

An Entry Level Mastercard Software Engineer is responsible for designing, developing, testing, and maintaining software applications and systems that support Mastercard's payment processing and related services. They work as part of a team to build secure, scalable, and high-performing solutions using modern programming languages and tools. These engineers also collaborate with cross-functional teams to resolve issues, implement new features, and ensure the quality and reliability of Mastercard’s technology products. As entry-level professionals, they are expected to learn quickly, adapt to Mastercard’s engineering standards, and contribute to ongoing projects while developing their technical skills.

What are the key skills and qualifications needed to thrive as an Entry Level Mastercard Software Engineer, and why are they important?

To thrive as an Entry Level Mastercard Software Engineer, you need a solid understanding of programming languages (such as Java, Python, or C++), computer science fundamentals, and a relevant degree in computer science or related fields. Familiarity with development tools like Git, CI/CD pipelines, and exposure to cloud platforms or payment technologies is typically required. Strong problem-solving abilities, teamwork, and effective communication help you collaborate and adapt in a fast-paced environment. These skills are crucial to building reliable payment solutions, ensuring system security, and contributing to Mastercard’s innovative projects.
What are the most commonly searched types of Mastercard Software Engineer jobs in Riverside, CA? The most popular types of Mastercard Software Engineer jobs in Riverside, CA are:
What job categories do people searching Entry Level Mastercard Software Engineer jobs in Riverside, CA look for? The top searched job categories for Entry Level Mastercard Software Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Entry Level Mastercard Software Engineer jobs? Cities near Riverside, CA with the most Entry Level Mastercard Software Engineer job openings:
Infographic showing various Entry Level Mastercard Software Engineer job openings in Riverside, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 96% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $109,400 per year, or $52.6 per hour.

Embedded Systems Engineer-Federal

FieldAI

Irvine, CA

Full-time

Posted 13 days ago


Job description

Who are We?

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Learn more at https://fieldai.com.

About the Job

At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We're looking for an Embedded Systems Engineer to support design, implementation, integration, and , deployment of wheeled robotic platforms across both federal and commercial programs

Embedded Systems Role:

As an Embedded Systems Engineer on the Federal Team at Field AI, you will contribute to the architecture, configuration, and validation of the compute systems that serve as the backbone for our robotic platforms. Your work will span low-level firmware, Linux-based configuration, and system performance analysis across ARM and x86 SBC platforms. From firmware on microcontrollers to ROS data streams on SBCs, you'll ensure the entire compute stack is optimized, reliable, and robust under field conditions. You will collaborate closely with the sensor, electrical, and autonomy teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on computing systems you will likely contribute across all hardware domains.

What You Will Get To Do

 1. Compute System Design

  • Compute Architecture: Architect and configure embedded compute platforms (ARM/x86, SBCs) for robotic applications including evaluation, testing and selection.

  • Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware (ROS), and I/O interfaces.

  • Systems Integration: Integrate compute with sensing and robotic systems. Analyze thermal, power, and bandwidth constraints to meet deployment and runtime requirements.

2. Compute System Implementation

  • Communications: Bring up sensors and peripherals using a range of protocols (USB, Ethernet, GMSL, IC, SPI, CAN).

  • Data Pipelines: Build and maintain drivers, ROS nodes, and data acquisition pipelines for new hardware components.

  • Systems Configuration: Create configuration files, launch scripts, and firmware update workflows.

  • Testing: Conduct system-level tests such as thermal profiling, latency measurement, and power draw analysis.

  • Documentation & Budgets: Maintain flashing procedures, I/O maps, and debug kits. Manage compute and I/O budgets.

3. Compute System Production & Servicing

  • Build: Work with vendors to procure compute hardware. Develop QA checks for incoming units. Support payload integration and scaling.

  • Debug: Support root-cause analysis for boot, connectivity, and throughput issues.

  • Diagnostics Monitoring: Implement watchdogs, health checks, and other evaluation tools.  Monitor compute system performance across CPU, GPU, memory, I/O, and networking.

What You Have

  • Education: B.S., M.S., or Ph.D. in Computer Engineering, Robotics, Electrical Engineering, or a related field.

  • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers.

  • Embedded Systems: Experience with embedded platforms (Jetson, Raspberry Pi, x86 NUCs, custom SBCs).

  • Linux: Proficiency with Linux system configuration, scripting, and headless deployment tools.

  • Firmware: Strong skills in firmware development for microcontrollers, including bare-metal and RTOS environments.

  • Programming: Proficient in C++ and Python for embedded and application-level development.

  • Communication Protocols: Experience with USB, Ethernet, IC, SPI, CAN, GMSL, and similar interfaces.

  • ROS Ecosystem: Familiarity with ROS, device drivers, TF, and data streaming/publishing.

  • Debugging: Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, analyzers).

  • Systems Thinking: Ability to diagnose and optimize across compute, thermal, timing, and I/O layers.

What Will Set You Apart

  • Scaling: Experience taking systems from prototype to large scale production.

  • Field Environments: Experience developing systems for harsh field environments.

  • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.

  • Systems Level Robotics: Fluency across software, electrical, and mechanical systems.

  • Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how compute performance impacts autonomy algorithms.

This position is for our FieldAI Federal Team.  This team works on projects connected to the U.S. government which requires U.S. Person eligibility.  A U.S. Person as defined by 22 C.F.R  120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.

Compensation

The salary range for this role is $70,000-$300,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time off. 

Field AI Onsite Work Philosophy

At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.

$70,000 - $300,000 a year

Why Join Field AI?

We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution

To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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