ZipRecruiter

Log In

2

Remote Smart Grid Research Jobs in California (NOW HIRING)

Anza

Software Engineer, Security

San Francisco, CA · Remote

$180K - $300K/yr

Conduct advanced security research on Solana and other Rust-based smart contract platforms. * Work ... Proficient in English, sufficient for success in a remote and asynchronous work environment

Orbofi

Researching and staying current on the latest advancements in blockchain technology, decentralized ... Creating and maintaining clear documentation for smart contracts, blockchain architecture, and ...

Larry H. Parker

Case Management Attorney

Long Beach, CA · Remote

$100K/yr

We are currently seeking a smart and capable attorney to join our growing team. At Larry H. Parker ... Remote but must be able to meet with clients on occasion at our Los Angeles Office Pay: $100K/year ...

Siemens

$31 - $35/hr

This is a fully remote, part-time role. You'll make an impact by: * Supporting consulting ... Delivering research, data acquisition, and analysis of energy and power markets to create reports ...

Posted today

Siemens

$31 - $35/hr

This is a fully remote, part-time role. You'll make an impact by: * Supporting consulting ... Delivering research, data acquisition, and analysis of energy and power markets to create reports ...

Posted today

Siemens

$31 - $35/hr

This is a fully remote, part-time role. You'll make an impact by: * Supporting consulting ... Delivering research, data acquisition, and analysis of energy and power markets to create reports ...

Posted today

Siemens

$31 - $35/hr

This is a fully remote, part-time role. You'll make an impact by: * Supporting consulting ... Delivering research, data acquisition, and analysis of energy and power markets to create reports ...

Posted today

Siemens

$31 - $35/hr

This is a fully remote, part-time role. You'll make an impact by: * Supporting consulting ... Delivering research, data acquisition, and analysis of energy and power markets to create reports ...

Posted today

Siemens

$31 - $35/hr

This is a fully remote, part-time role. You'll make an impact by: * Supporting consulting ... Delivering research, data acquisition, and analysis of energy and power markets to create reports ...

Posted today

Siemens

$31 - $35/hr

This is a fully remote, part-time role. You'll make an impact by: * Supporting consulting ... Delivering research, data acquisition, and analysis of energy and power markets to create reports ...

Posted today

Siemens

$31 - $35/hr

This is a fully remote, part-time role. You'll make an impact by: * Supporting consulting ... Delivering research, data acquisition, and analysis of energy and power markets to create reports ...

Posted today

previous pagenext page

Showing results 21-40

All JobsSmart Grid Research JobsRemote Smart Grid Research JobsRemote Smart Grid Research Jobs in California

Remote Smart Grid Research information

What is remote smart grid research?

Remote Smart Grid Research involves studying, analyzing, and developing technologies for modern electricity grids using remote methods, such as online data analysis, simulations, and virtual collaboration. Researchers in this field focus on improving the efficiency, reliability, and sustainability of power systems by integrating digital communication, automation, and renewable energy sources. They may work on projects like demand response, grid security, or advanced metering, often collaborating with utilities, government agencies, or academic institutions from a distance. This work helps ensure the smart grid can adapt to future energy demands and technological advancements.

What are the key skills and qualifications needed to thrive in remote smart grid research?

To thrive in Remote Smart Grid Research, a strong background in electrical engineering, data analysis, and knowledge of smart grid technologies is essential, often supported by an advanced degree in engineering or a related field. Familiarity with simulation software (such as MATLAB/Simulink), SCADA systems, grid modeling tools, and relevant certifications like Professional Engineer (PE) can be highly beneficial. Excellent problem-solving, collaboration, and communication skills help researchers work effectively on multidisciplinary teams and convey complex technical findings. These competencies are crucial for developing innovative smart grid solutions, ensuring reliable energy management, and driving advancements in sustainable energy systems.

What are some common challenges faced by professionals working in remote smart grid research, and how can they be addressed?

Professionals in remote smart grid research often encounter challenges such as managing data from distributed sources, ensuring effective communication within remote teams, and staying updated with evolving technologies. Addressing these challenges typically involves adopting advanced data analytics tools, utilizing collaborative platforms for seamless teamwork, and participating in ongoing professional development. Additionally, establishing clear protocols for data sharing and regular virtual meetings can help maintain project alignment and productivity.

What is the difference between Remote Smart Grid Research vs Remote Power Systems Engineer?

AspectRemote Smart Grid ResearchRemote Power Systems Engineer
Required CredentialsEngineering degree, certifications in power systems or smart grid technologiesEngineering degree, certifications in power systems or related fields
Work EnvironmentResearch labs, universities, industry R&D teams, often collaborative and innovativeDesign, analysis, and implementation of power systems, often in utility or consulting settings
Employer & Industry UsageUtilities, research institutions, government agencies focused on smart grid advancementsUtilities, engineering firms, consulting companies involved in power system projects

Remote Smart Grid Research and Remote Power Systems Engineer roles share similar credentials and industry environments. However, research roles focus more on innovation and development within smart grid technologies, while power systems engineers concentrate on designing and maintaining existing power infrastructure. Both positions are vital in advancing and supporting modern energy systems remotely.

What are the most commonly searched types of Smart Grid Research jobs in California?

The most popular types of Smart Grid Research jobs in California are:

What are popular job titles related to Remote Smart Grid Research jobs in California?

For Remote Smart Grid Research jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Smart Grid Research jobs in California look for?

The top searched job categories for Remote Smart Grid Research jobs in California are:

What cities in California are hiring for Remote Smart Grid Research jobs?

Cities in California with the most Remote Smart Grid Research job openings:

Remote Smart Grid Research jobs near you

Machine Learning DevOps - Cloud and Compute Cluster - R&D Support

Pathway

Palo Alto, CA • On-site, Remote

$62 - $85/hr

Full-time

Re-posted 2 days ago

Job description

About Pathway
Pathway is shaking the foundations of artificial intelligence by introducing the world's first post-transformer model that adapts and thinks just like humans.
Pathway's breakthrough architecture (BDH) outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. The company is trusted by organizations such as NATO, La Poste, and Formula 1 racing teams.
Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Goeff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20.
The company is backed by leading investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer ("the T" in ChatGPT) and a key researcher behind OpenAI's reasoning models. Pathway is headquartered in Palo Alto, California.
The opportunity
We are currently searching for a Machine Learning DevOps with experience in cloud and compute cluster management, scaling infrastructures, and Linux administration.
Our development, ML training, and production environment is in the cloud, using several major cloud providers. We need support in managing and automating the processes, and scaling the infrastructure to growing team and production needs.
You Will
  • Optimize infrastructure for ML training and inference (e.g., GPUs, distributed compute).
  • Automate and maintain ML/LLM pipelines (data ingestion, training, validation, deployment).
  • Manage model versioning, reproducibility, and traceability.
  • Work with terabyte-large datasets.
  • Implement ML-centric CI/CD practices.
  • Monitor model performance and data drift in production.
  • Collaborate with machine learning engineers, software engineers, and platform teams.

The role focuses on operationalizing machine learning models, ensuring scalability, reliability, and automation across the ML lifecycle.
Requirements
What We Are Looking For
  • Very good familiarity with Linux, shell scripts, and cluster configuration scripts as the basic work tool.
  • Proficiency in workload management, containerization and orchestration (Slurm, Docker, Kubernetes).
  • Solid grasp of CI/CD tools and workflows (GitHub Actions, Jenkins, Gitlab CI, etc.).
  • Cloud infrastructure knowledge (AWS, GCP, Azure) - especially in ML services (e.g., SageMaker Hyperpod, Vertex AI).
  • Familiarity with monitoring/logging tools (Grafana, CloudWatch, Prometheus, Loki).
  • Experience with infrastructure as code (Terraform, CloudFormation, cluster-toolkit).
  • Experience with ML pipeline orchestration tools (e.g., MLflow, Kubeflow, Airflow, Metaflow).
  • Programming skills in Python (with exposure to ML libraries like TensorFlow, PyTorch).
  • Experience with cluster, systems, and networks administration.
  • Willingness to learn.

This position holds a minimum requirement of a BSc in Computer Science or Information Technology.
We will generally favor candidates who have undertaken ambitious efforts in the past. For example, if you have made an accepted contribution to the Linux kernel, won an important bug bounty, supported an academic grid/cluster computing team in a scaling effort, or even won a sports championship, make sure to mention this in your application!
Benefits
Why You Should Apply
  • Intellectually stimulating work environment. Be a pioneer: you get to work with realtime data processing & AI.
  • Work in one of the hottest AI startups, with exciting career prospects. Team members are distributed across the world.
  • Responsibilities and ability to make significant contribution to the company' success
  • Inclusive workplace culture

Further details
  • Type of contract: Permanent employment contract
  • Preferable joining date: Immediate.
  • Compensation: based on profile and location.
  • Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, United States, and Canada will be considered.

Apply