ZipRecruiter

Log In

Gridware
Gridware

60 Gridware Data Jobs Hiring Near You

Gridware

Staff Software Engineer

San Francisco, CA · On-site

$245K - $260K/yr

About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and ... Responsibilities * Design and develop full-stack systems in collaboration with data science ...

Gridware

Software Engineering Manager

San Francisco, CA · On-site

$200K - $240K/yr

Familiarity with distributed systems, event-driven architectures, or real-time data processing * Alignment with Gridware's mission to modernize and harden critical infrastructure $200,000 - $240,000 ...

Gridware

Staff Software Engineer

San Francisco, CA

$245K - $260K/yr

About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and ... Responsibilities * Design and develop full-stack systems in collaboration with data science ...

Gridware

Staff Software Engineer

San Francisco, CA · On-site

$245K - $260K/yr

About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and ... Responsibilities * Design and develop full-stack systems in collaboration with data science ...

Gridware

Staff Software Engineer

San Francisco, CA · On-site

About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and ... Responsibilities * Design and develop full-stack systems in collaboration with data science ...

Gridware

Senior DevOps Engineer

San Francisco, CA · On-site

$190K - $215K/yr

... data teams to keep them shipping fast. As an early member of the DevOps team, you'll have a direct hand in shaping how Gridware builds, deploys, and runs production systems for years to come.

Gridware

Senior DevOps Engineer

San Francisco, CA · On-site

$190K - $215K/yr

... data teams to keep them shipping fast. As an early member of the DevOps team, you'll have a direct hand in shaping how Gridware builds, deploys, and runs production systems for years to come.

Gridware

Research Engineer, Electrical

San Francisco, CA · On-site

$130K - $165K/yr

About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and ... Collaborate closely with product managers, data scientists, and SW/HW/FW engineers. Required Skills

Gridware

People Partner

San Francisco, CA · On-site

$135K - $165K/yr

About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and ... Strong data and analytics skills (comfortable with engagement data, performance trends, and ...

previous page

Showing results 41-60

All JobsGridware Data Jobs

Gridware Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are the most popular job types at Gridware?
    What are the most popular jobs at Gridware?
    What are the most popular categories at Gridware?
    Infographic showing various Data job openings at Gridware in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
    Senior Research Engineer, Structural Dynamics & Vibrations

    Senior Research Engineer, Structural Dynamics & Vibrations

    Gridware

    San Francisco, CA • On-site

    $118.40K - $160.80K/yr

    Full-time

    Medical, Dental, Vision

    Posted 18 days ago

    Job description

    About Gridware
    Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.
    Role Description
    We are seeking a creative, hands-on Senior Mechanical Research Engineer with significant vibration and dynamics experience to lead complex mechanical sensing problems on edge grid intelligence products with real-world impact.
    You will become an expert in how our grid sensor signals - accelerometer, IMU, and other mechanical-measurement signals - behave in the real world across diverse infrastructure. You will investigate sensing performance via exploratory data analysis, dynamics modeling coupled with bench and full-scale testing. You will also support design improvements, and validate improvements using test infrastructure you develop. You will define mechanical sensing requirements, develop measurement-chain improvements, and help mature new mechanical sensing capabilities.
    The focus is on understanding the mechanical phenomena that affect the grid, including measurement performance, validation, and technology transfer, rather than product design or implementation.
    Responsibilities
    In this role you will
    • Develop mechanical sensing performance requirements. Select and evaluate new sensors for current and new mechanical sensing capabilities.
      • >
    • Root-cause mechanical sensor signal issues from fleet to bench: use fleet telemetry (time-series + metadata) to isolate failure patterns, modes and signatures, test hypotheses via dynamics modeling and benchtop reproduction, contribute to design solutions, and partner with HW, FW, and SW engineering to implement them.
      • >
    • Characterize and validate how diverse infrastructure types - different pole materials, geometries, and equipment configurations - affect mechanical signal behavior. Translate findings into design guidance, device installation requirements, monitoring and data aggregation methods.
      • >
    • Develop and own test methods to characterize and validate mechanical sensor performance across diverse and variable operating conditions.
      • >
    • Develop hardware-in-the-loop test infrastructure to reproduce real-world mechanical phenomena Gridware technology detects. Run hardware-in-the-loop tests to validate changes to our tech stack (from phenomena - hardware - automation - customer).
      • >
    • Develop signal quality observability for mechanical sensors: sensor trust metrics, quality scoring, and gating criteria for downstream uses of data.
      • >
    • Mentor team members. Raise the technical rigor of experiments, analysis, and validation work across the team.
      • >
    • Collaborate closely with product managers, data scientists, automation engineers, SW/HW/FW engineers, as well as non-technical teams such as customer success, field teams, and manufacturing.
      • >

    Required Skills
    • Senior-level experience: PhD in Mechanical Engineering, Aerospace Engineering, Engineering Mechanics, or a closely related field plus 3+ years of relevant industry experience or MS in one of those fields plus 6+ years of relevant industry experience in owning open-ended, research-driven mechanical sensing or signal-quality problems.
      • >
    • Strong fundamentals in vibrations, dynamics, and structural response, with the ability to connect those fundamentals to real signals - extracting physical meaning through modal analysis, impact identification, source separation, frequency-domain feature extraction, and transient classification.
      • >
    • Track record of owning ambiguous sensing, signal-quality, or measurement-performance problems from characterizing through validation.
      • >
    • Scientific computing: comfortable writing analysis pipelines in Python, MATLAB, or equivalent to investigate and report system performance to broad audiences.
      • >
    • Experience collecting high-quality mechanical measurements: have built and run custom measurement setups using accelerometers, IMUs, force/strain transducers, and standard lab instrumentation (DAQ and related tools).
      • >
    • Strong technical judgment, communication, and cross-functional collaboration.
      • >
    • Experience leading technically complex work with multiple stakeholders and deadlines.
      • >

    Relevant Depth Areas
    We do not expect every senior candidate to be equally deep in every area below. Strong candidates will usually bring deep experience in several of these areas.
    • Sensor characterization and validation: led mechanical sensor performance evaluation from characterization through test method development. Experience developing performance requirements and testing or validating sensing systems against those requirements.
      • >
    • Structural dynamics on real infrastructure: modal analysis, operational modal analysis, or experimental dynamics on civil/industrial structures with realistic boundary conditions, equipment loads, and environmental coupling.
      • >
    • Root-cause sensor signal issues: track record investigating and solving signal/noise issues - identifying issues through exploratory data analysis, reproducing in simulation and on the bench, and implementing solutions.
      • >
    • Hardware-in-the-loop test infrastructure: designed and built mechanical or electromechanical HIL rigs to reproduce real-world phenomena and validate sensor or algorithm changes pre-release.
      • >
    • Physical sensing research: researched new mechanical sensing capabilities using first-principles modeling, experiments, and sensor trade studies to evaluate feasibility and performance.
      • >

    Bonus Skills
    • Experience with deployed IoT fleets (tens of thousands of devices) and developing observability for long-term sensor performance - telemetry design, health metrics, calibration drift monitoring.
      • >
    • Experience designing system validation plans with explicit acceptance criteria and building or owning repeatable test infrastructure.
      • >
    • Embedded DSP exposure - applying DSP to real sensor signals on resource-constrained devices.
      • >
    • Experience optimizing sampling and signal processing on constrained compute devices to reduce power and storage.
      • >
    • Experience in sensor coexistence testing.
      • >

    $175,000 - $200,000 a year
    This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
    Benefits
    Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
    Paid parental leave
    Alternating day off (every other Monday)
    "Off the Grid", a two week per year paid break for all employees.
    Commuter allowance
    Company-paid training

    Apply