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Embedded Software Engineer Remote Jobs in California

Alutiiq

Software Engineer

San Diego, CA · On-site +1

Support software integration activities involving sensors, LiDAR systems, photogrammetry, embedded ... Ability to work independently in a remote environment while supporting geographically distributed ...

Upbound

Senior Software Engineer [REMOTE]

San Francisco, CA · Remote

$144K - $190K/yr

Learn more at upbound.io Upbound is hiring a Senior Software Engineer to help us build and operate ... LI-REMOTE Why Upbound? At Upbound, you'll help shape the systems and strategies that drive ...

Imply

Staff Software Engineer (Remote)

Burlingame, CA · Remote

$195K - $230K/yr

This role is a mix of software engineering, platform engineering, and cloud architecture. Must be comfortable working in a high performance remote-first environment. Responsibilities * Design and ...

Imply

Staff Software Engineer (Remote)

Burlingame, CA · Remote

$195K - $230K/yr

This role is a mix of software engineering, platform engineering, and cloud architecture. Must be comfortable working in a high performance remote-first environment. Responsibilities * Design and ...

Imply

Staff Software Engineer (Remote)

Burlingame, CA · On-site +1

$195K - $230K/yr

This role is a mix of software engineering, platform engineering, and cloud architecture. Must be comfortable working in a high performance remote-first environment. Responsibilities * Design and ...

Zipstack

$144K - $190K/yr

The Job The role described here is that of an individually contributing senior software development engineer. Your time will mostly be spent understanding the problem from architects and writing ...

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All JobsEmbedded Software Engineer Remote JobsEmbedded Software Engineer Remote Jobs in California

Embedded Software Engineer Remote information

What are some common challenges faced by remote Embedded Software Engineers, and how can they be addressed?

Remote Embedded Software Engineers often encounter challenges such as limited direct access to physical hardware, coordinating across different time zones with team members, and maintaining effective communication for troubleshooting and integration tasks. These challenges can be mitigated by utilizing remote hardware labs, well-established code repositories, and clear documentation practices. Regular video meetings, collaborative development tools, and proactive status updates also help keep projects on track and align team efforts. By staying organized and responsive, remote engineers can overcome these obstacles and deliver high-quality embedded solutions.

What is an Embedded Software Engineer Remote job?

An Embedded Software Engineer Remote job involves designing, developing, and testing software that runs on embedded systems, such as microcontrollers or IoT devices, while working remotely. These engineers write low-level code, optimize performance, and ensure seamless hardware-software integration. They use programming languages like C, C++, or Python and collaborate with teams through virtual communication tools. Remote roles require strong self-discipline, effective communication, and the ability to troubleshoot issues independently.

What are the key skills and qualifications needed to thrive in the Embedded Software Engineer Remote position, and why are they important?

To thrive as an Embedded Software Engineer Remote, you need strong programming skills in C/C++, a solid understanding of embedded systems architecture, and often a degree in computer engineering, electrical engineering, or a related field. Familiarity with real-time operating systems (RTOS), version control tools like Git, and hardware debugging tools is commonly required, and certifications like Certified Embedded Systems Engineer (CESE) are a plus. Excellent problem-solving, self-motivation, and clear communication are important soft skills for effective remote collaboration. These capabilities enable you to deliver reliable, efficient solutions in a distributed work environment while supporting cross-functional teams and project objectives.

What are the most commonly searched types of Embedded Software Engineer jobs in California? The most popular types of Embedded Software Engineer jobs in California are:
What are popular job titles related to Embedded Software Engineer Remote jobs in California? For Embedded Software Engineer Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Embedded Software Engineer Remote jobs in California look for? The top searched job categories for Embedded Software Engineer Remote jobs in California are:
What cities in California are hiring for Embedded Software Engineer Remote jobs? Cities in California with the most Embedded Software Engineer Remote job openings:
Embedded Software Engineer Remote jobs near you
Infographic showing various Embedded Software Engineer Remote job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Software Engineer (Fully Remote)

Software Engineer (Fully Remote)

Axiom Cloud

San Jose, CA • On-site, Remote

Full-time

PTO

Posted 24 days ago

Key responsibilities

  • Build, improve, and maintain an ecosystem of software services and APIs that manage a fleet of assets from the cloud to the IoT edge.

  • Collaborate with hardware, controls, modeling, and data science teams to develop AI-enabled products.

  • Engineer reliability and scale into a multi-tenant microservices stack to support thousands of customer sites.

Job description

SOFTWARE ENGINEER
Remote (Pacific Hours)
axiomcloud.ai
510-683-5200
Axiom Cloud is transforming how the world's cooling systems are powered, operated, and maintained; generating significant climate and financial impact.
We are looking for a Software Engineer who wants to work at the intersection of IoT, cloud infrastructure, and real-world energy systems; and who thrives building software that matters.
WHAT YOU'LL DO
You will work directly with the engineering team on the following strategic initiatives:
  • Build, improve, and maintain an ecosystem of software services and APIs that manage a fleet of flexible, intelligent, and resilient assets; from the cloud to the IoT edge.
  • Collaborate with hardware, controls, modeling, and data science teams to develop innovative, AI-enabled products.
  • Engineer reliability and scale into our multi-tenant microservices stack, scaling from handfuls to thousands of customer sites.
  • Contribute to cloud-native deployment practices across our production environment.
  • Reduce technical debt by addressing existing shortcuts and setting a higher bar for new feature development.
  • Build and orchestrate AI Agents to accelerate team productivity and deliver customer value.
  • Participate in code reviews to maintain quality and foster knowledge sharing.
  • Improve internal tooling and documentation to make the development experience more accessible.
  • Develop full-stack features that connect backend services to user-facing interfaces.

WHO YOU ARE
A general guide - we can bend these rules for an exceptional candidate.
  • Bachelors in Computer Science, Engineering, or a related field.
  • 3+ years of professional software development experience.
  • Strong software design instincts; comfortable across object-oriented and functional paradigms.
  • Motivated to contribute across the full stack, from strategy and architecture to coding, testing, and production operations.
  • Quick to pick up new technologies and development methodologies.
  • A self-directed problem-solver who generates innovative solutions with minimal oversight.
  • Passionate about technology innovation, product development, and commercial/industrial SaaS.

KEY SKILLS & TECHNOLOGIES
Cloud & Networking
Strong fundamentals in GCP (or AWS): VPC design, shared VPC, HA VPN, Cloud Interconnect, Cloud NAT, BGP routing, and Private Service Connect.
Kubernetes & Compute
Production experience with GKE or EKS, including workload identity, autoscaling, and multi-cluster patterns.
Infrastructure as Code
Modular, reusable Terraform with remote state management.
CI/CD
Pipeline-driven delivery for infrastructure and application workloads via GitHub Actions or similar.
Auth & Identity
Workforce Identity Federation, OIDC/SAML with Okta, IAM design, and service-to-service authentication.
Security
Least-privilege IAM, network segmentation, encryption (CMEK/GMEK, KMS), and secrets management.
Python
Solid working proficiency for tooling, automation, and platform services.
Data & Lakehouse
Hands-on with Databricks (Delta Lake, Unity Catalog) or comparable platforms; strong schema design for large-scale timeseries and relational workloads.
Performance Optimization
Proven ability to tune queries, indexes, and pipelines against billion-row datasets.
Agentic AI & Generative AI / LLMs
Experience with Agentic AI, prompt engineering and RAG systems (e.g., LangChain, Hugging Face).
Debugging
Systematic root-cause analysis across distributed cloud systems, especially in networking and connectivity.
Frontend
Working familiarity with React or similar for internal tools and platform dashboards.
WHY JOIN US
  • Work directly on mission-critical infrastructure that drives real climate impact.
  • Fully remote position with working hours generally aligned to Pacific Time.
  • Competitive compensation and benefits package, including equity (stock options).
  • Honor system PTO policy (no specified limits) and paid parental leave.
  • Two company-wide weeks off per year (December and July).
  • Collaborative, growth-oriented culture with a strong emphasis on professional development.
  • Chance to make a measurable impact at an innovative enterprise SaaS company transforming the cold chain industry.

THE FINE PRINT
We're a startup. The work is demanding, challenging, and fulfilling. If that excites you, we want to hear from you!
Axiom Cloud is an Equal Opportunity Employer and fully subscribes to the principles of Equal Employment Opportunity, to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, marital or familial status.

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