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Applications Engineer Remote Jobs in Riverside, CA

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

... field applications. We are seeking a skilled and motivated Senior MLOps Engineer to join our ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Cotality

Software Development Engineer (Java)

Irvine, CA · On-site +1

$55.50 - $76.25/hr

We are seeking a talented and driven hybrid-remote Professional Software Engineer to join our engineering team. In this role, you will design, develop, and maintain robust Java-based applications and ...

New

Phizenix

Sr. Director - FP&A Systems

Irvine, CA · On-site +1

$230K - $280K/yr

Experience with remote engineering workflows or lab automation. Certifications: PMP, ITIL, Six ... applications or lab operations. Proven success leading large-scale standardization or ...

New

Karma Automotive

Sr. Engineer II - Software Design

Irvine, CA · Remote

$130K - $172K/yr

... remote diagnostics, and telematics functionalities. * Write efficient and optimized code in ... Proven experience in writing highly secure web applications, web design, core AWS web-enabling ...

Zorts Sports

Software Engineer

Claremont, CA · Remote

Salary: 100k - 125k Annual Software Engineer Flash Biometrics | Hybrid/Remote Claremont, CA Salary Range: $100,000$125,000 About Flash Biometrics Flash Biometrics is transforming event admissions ...

Invoca

Senior ML Engineer

Anaheim, CA · On-site +1

$109K - $150K/yr

... for high-impact NLP applications in conversation intelligence. * Evolve ML Infrastructure ... Familiarity with RLHF or preference training is a bonus 📍 Location This is a remote-first role.

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site +1

$144K - $194K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and testing of complex software systems and applications. This senior-level position is responsible for ...

Qcells

SCADA Engineer - Level 2

Irvine, CA · On-site +1

$105K - $125K/yr

Engineering Location: Irvine, CA Supervisor: Director of SME FLSA Status: Exempt Position Status ... Work with SCADA, EMS, and HMI tools to optimize remote monitoring and plant automation. * Provide ...

TP-Link Systems Inc.

Senior Mobile App Developer

Irvine, CA · Remote

$140K - $200K/yr

... applications? Do you thrive in an environment that values scalability, security, and seamless user ... As a Senior Engineer, you will play a key role in designing, developing, and maintaining enterprise ...

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All JobsApplications Engineer JobsApplications Engineer Remote JobsApplications Engineer Remote Jobs in Riverside, CA

Applications Engineer Remote information

See Riverside, CA salary details

$52.7K

$115.5K

$158.6K

How much do applications engineer remote jobs pay per year?

As of Jul 14, 2026, the average yearly pay for applications engineer remote in Riverside, CA is $115,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $140,800.00 per year, depending on experience, location, and employer.

What does an Applications Engineer do when working remotely?

A remote Applications Engineer designs, develops, and supports software or hardware solutions tailored to customer needs, all from a remote location. They collaborate with clients, sales teams, and development teams through virtual meetings and digital tools to ensure products are integrated and optimized for specific applications. Their responsibilities often include troubleshooting technical issues, providing product demonstrations, and assisting with implementation and customization. Working remotely allows them to serve clients across various regions while maintaining effective communication and support.

What are the key skills and qualifications needed to thrive as an Applications Engineer (Remote), and why are they important?

To thrive as a remote Applications Engineer, you need a solid background in engineering principles, programming, and problem-solving, often supported by a degree in engineering or computer science. Familiarity with CAD software, simulation tools, and customer relationship management (CRM) systems is typically required, along with relevant certifications. Excellent communication, self-motivation, and time management are standout soft skills, especially in a remote setting. These skills and qualities are crucial to effectively deliver technical solutions, support clients, and collaborate with teams across different locations.

What is the difference between Applications Engineer Remote vs Applications Engineer on-site?

AspectApplications Engineer RemoteApplications Engineer on-site
Work EnvironmentPerforms duties remotely, often from home, with virtual collaborationWorks at a company location, interacting face-to-face with teams and clients
Required CredentialsTypically requires engineering degree and technical certifications, similar to on-site rolesSame credentials as remote roles, with emphasis on communication skills for in-person interactions
Industry UsageCommon in tech, software, and engineering firms offering remote optionsTraditional in manufacturing, hardware, and engineering industries
Work FlexibilityHigh flexibility in location and schedule, depending on employer policiesLess flexible, with fixed working hours and location

Applications Engineer Remote and on-site roles share similar technical requirements and industry usage. The main difference lies in the work environment and flexibility, with remote positions offering greater location independence while on-site roles involve physical presence at the workplace.

How does an Applications Engineer working remotely typically collaborate with product development and customer support teams?

As a remote Applications Engineer, collaboration with product development and customer support is often achieved through regular virtual meetings, shared project management platforms, and real-time communication tools. You'll frequently translate customer requirements into technical solutions, working closely with development teams to relay feedback and troubleshoot issues. Proactive communication and clear documentation are essential for successful cross-functional teamwork in a remote setting. This structure allows you to contribute meaningfully to product improvements while maintaining strong relationships with both internal teams and clients.
What are popular job titles related to Applications Engineer Remote jobs in Riverside, CA? For Applications Engineer Remote jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Applications Engineer Remote jobs in Riverside, CA look for? The top searched job categories for Applications Engineer Remote jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Applications Engineer Remote jobs? Cities near Riverside, CA with the most Applications Engineer Remote job openings:
Applications Engineer Remote jobs near you

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Re-posted yesterday

Job description

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.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
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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