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Remote Customer Engineer Jobs in California (NOW HIRING)

Senior Software Engineer [REMOTE]

San Francisco, CA · Remote

$144K - $190K/yr

Investigate and debug complex issues in customer environments, including multi-control plane ... engineers. #LI-REMOTE Why Upbound? At Upbound, you'll help shape the systems and strategies that ...

... remote candidates will be considered * Regular domestic travel to customer sites for technical ... Collaborative, fast-paced engineering culture

Showing results 41-60

Remote Customer Engineer information

What does a remote customer engineer do?

A remote customer engineer provides technical support and solutions to clients remotely, often troubleshooting hardware or software issues, assisting with product deployment, and ensuring customer satisfaction. They typically use communication tools like video calls, chat, and remote access software, and may require technical certifications or knowledge of specific products or systems.

What is the difference between Remote Customer Engineer vs Remote Technical Support Specialist?

AspectRemote Customer EngineerRemote Technical Support Specialist
Required CredentialsBachelor's in Engineering or related field, certifications like Cisco or CompTIAHigh school diploma or associate degree, certifications like CompTIA A+
Work EnvironmentCustomer sites, remote troubleshooting, technical consultationsHelp desks, call centers, remote support via chat or phone
Employer & Industry UsageTech companies, networking, hardware/software providersIT service providers, software companies, hardware vendors

Remote Customer Engineers focus on technical consultations, troubleshooting, and supporting complex systems, often requiring engineering knowledge. Remote Technical Support Specialists handle customer inquiries, troubleshooting, and issue resolution primarily via remote channels. While both roles involve remote work and technical skills, the Customer Engineer role typically demands more specialized technical expertise and industry certifications.

What are the most commonly searched types of Customer Engineer jobs in California? The most popular types of Customer Engineer jobs in California are:
What cities in California are hiring for Remote Customer Engineer jobs? Cities in California with the most Remote Customer Engineer job openings:

Forward Deployed AI Engineer (Senior/Principal Level)

Cloudera

San Jose, CA • Remote

$198K - $247K/yr

Full-time

PTO

Posted 5 days ago


Job description

Business Area:

Corp. Strategy

Seniority Level:

Director

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

About Forward Deployed Engineering (FDE) at Cloudera

Cloudera's Forward Deployed Engineering (FDE) function sits within the Applied AI organization, and is a specialized AI/ML engineering team focused on accelerating AI adoption within our most strategic enterprise customers. We embed directly with customers to rapidly pilot AI use cases, solve real-world business challenges, and help operationalize advanced AI capabilities within enterprise environments.

Cloudera FDEs operate at the intersection of customer engineering, AI innovation, and enterprise deployment - driving high-impact AI outcomes for customers and codifying solution patterns for repeatable delivery at scale.

About the role

Cloudera is looking for a seasoned full-stack ML engineer who can embed with customers to design technical use cases, and ship scalable enterprise AI/ML solutions on Cloudera. As a Forward Deployed AI Engineer you will:

  • Build & Prototype AI Apps - Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases

  • Partner with Strategic Customers - Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness

  • Shape Enterprise AI Architecture - Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases

  • Codify Solution Patterns - Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks

  • Multiply impact - Be a thought leader, mentor Cloudera teams, and contribute to resources that grow our AI capability. Channel field and customer signal back to Product teams to improve our AI platform and products

We are excited if you have:

  • 7+ years of experience building and deploying production-grade systems, including 2-4 years experience building ML systems or GenAI/agentic applications

  • Strong hands-on software engineering, data engineering, and applied AI/ML skills, with experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling

  • Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows

  • Deep understanding of LLMOps/MLOps practices including evaluation, observability, serving, monitoring, and lifecycle management

  • Experience designing and implementing scalable AI solution architectures aligned to enterprise standards (security, governance, compliance, etc.)

  • The ability to engage directly with customers, both technical and executive audiences - to translate needs into actionable technical strategy

  • High agency with the ability to operate autonomously and thrive in ambiguous, fast-moving customer environments

  • A collaborative mindset and passion for enabling others through mentorship, internal enablement, or reusable tooling

  • Bsc/Msc/PhD in related field or equivalent experience

You may also have:

  • Experience with cloud technologies (AWS, Azure, GCP)

  • Experience using the Cloudera platform

  • Experience with open source big data technologies like Spark, Iceberg, NiFi, etc

  • Experience with AI infrastructure and runtime technologies including NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads

The anticipated annual base salary range for this position is:

New York & California: $198,000-$247,500

Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package.

This role is not eligible for immigration support or relocation.

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

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