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Remote Senior Network Engineer Jobs in Riverside, CA

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

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

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

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

Comcast

Sr. Backend Engineer - Xumo

Irvine, CA · Remote

As a Senior Backend Engineer on the Xumo Software Engineering Team, you will play a key role in ... Position is office based in Irvine, CA or Philadelphia, PA,- 4 days on-site & 1 day remote. Java ...

Comcast

Sr. Backend Engineer - Xumo

Irvine, CA · Remote

As a Senior Backend Engineer on the Xumo Software Engineering Team, you will play a key role in ... Position is office based in Irvine, CA or Philadelphia, PA,- 4 days on-site & 1 day remote. Java ...

Tunabear

Sr. Peoplesoft HCM Developer

Riverside, CA · Remote

Contract length: through FY26 (June 30) + extension * 100% remote (must be available PST hours) Position Overview We are seeking a highly skilled Senior PeopleSoft Developer with extensive experience ...

Qcells

Senior Manager, Capital Markets

Irvine, CA · On-site +1

$130K - $170K/yr

Through its extensive dealer network, EnFin offers consumers a variety of loans and TPO ("third ... Remote may be considered in exceptional cases. RESPONSIBILITIES: * Raise capital to fund the growth ...

New

PropStream

Senior front-end developer

Lake Forest, CA · Remote

$100K - $120K/yr

As a Senior front-end developer, you will be responsible for the user interface of our web ... Headquartered in Lake Forest, CA, PropStream currently maintains a remote and hybrid-friendly ...

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 ... This senior-level position is responsible for creating scalable, high-quality software solutions ...

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All JobsNetwork Engineer JobsRemote Senior Network Engineer JobsRemote Senior Network Engineer Jobs in Riverside, CA

Remote Senior Network Engineer information

See Riverside, CA salary details

$44.3K

$129.1K

$182.6K

How much do remote senior network engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote senior network engineer in Riverside, CA is $129,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $148,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Senior Network Engineer vs Remote Network Administrator?

AspectRemote Senior Network EngineerRemote Network Administrator
CertificationsCCNP, CCIE, CompTIA Network+CompTIA Network+, Cisco CCNA
Work EnvironmentDesign, implement, troubleshoot complex networksMaintain, monitor, and support existing networks
Employer UsageLarge enterprises, tech firms, service providersSmall to medium businesses, IT departments
Search IntentAdvanced networking roles, design-focusedNetwork support, daily operations

The Remote Senior Network Engineer typically handles complex network design and troubleshooting, requiring advanced certifications and experience. In contrast, the Remote Network Administrator focuses on maintaining and supporting existing networks, often with entry to mid-level certifications. Both roles are essential in IT infrastructure but differ in scope and responsibilities.

How does a Remote Senior Network Engineer typically collaborate with on-site teams and manage network incidents from a distance?

As a Remote Senior Network Engineer, collaboration with on-site teams is usually maintained through regular video meetings, chat platforms, and incident tracking tools. You'll often be responsible for remotely diagnosing and resolving complex network issues, coordinating with local IT staff to perform hands-on tasks when necessary. Effective communication and clear documentation are essential to ensure seamless teamwork and rapid incident response. Additionally, you'll likely participate in on-call rotations and may need to provide after-hours support for critical incidents.

What Does a Remote Senior Network Engineer Do?

As a remote senior network engineer, you install, troubleshoot, and configure network systems. Your responsibilities include maintaining digital infrastructure, overseeing system operations, and installing and repairing equipment. Remote senior network engineer duties take place over network connections with some positions involving travel to on-site locations. You use technology to communicate with clients and teams, troubleshoot technical issues, deploy software and system updates, and monitor and diagnose performance issues. You process troubleshooting requests, train personnel on hardware and software, and manage security permissions and data on the network. Working remotely, you collaborate with information technology and other teams to ensure seamless updates and system performance.

What are the key skills and qualifications needed to thrive as a Remote Senior Network Engineer, and why are they important?

To thrive as a Remote Senior Network Engineer, you need expert knowledge of network architecture, troubleshooting, and security, often demonstrated through a bachelor's degree in computer science or related field and certifications like CCNP or CCIE. Proficiency with network monitoring tools (such as Wireshark and SolarWinds), VPNs, firewalls, and cloud networking platforms is typically required. Strong analytical thinking, effective communication, and self-motivation are essential soft skills for diagnosing issues and collaborating remotely with teams. These skills ensure secure, reliable network performance and seamless coordination across distributed environments.

What does a Remote Senior Network Engineer do?

A Remote Senior Network Engineer is responsible for designing, implementing, and managing complex computer networks from a remote location. They ensure the reliability, security, and efficiency of network infrastructure for organizations, often troubleshooting issues, optimizing performance, and supporting network expansion. These professionals may also mentor junior staff, develop network policies, and coordinate with other IT teams to keep systems running smoothly. Working remotely, they use various tools to monitor network health and collaborate with colleagues across different locations.
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Remote Senior Network Engineer jobs near you

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Other

Posted 11 days ago

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. 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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