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Sensor Scientist Jobs in Spring, TX (NOW HIRING)

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GPU Engineer

Houston, TX · On-site

Optimize end-to-end GPU performance for real-time autonomous driving workloads , including sensor ... Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

Varsity Tutors

Robotics Tutor

Houston, TX · Remote

$18 - $40/hr

Ability to explain sensor integration, PID control, gear ratios, and autonomous navigation while ... computer science, and artificial intelligence applications. * Curriculum Awareness & Adaptive ...

Fervo Energy

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Working across Data Science, AI Engineering, IT Infrastructure, domain SMEs, and business ... Ingest and process high-volume IoT and historian data (sensor, SCADA, time-series) via streaming ...

Fervo Energy Company

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Working across Data Science, AI Engineering, IT Infrastructure, domain SMEs, and business ... Ingest and process high-volume IoT and historian data (sensor, SCADA, time-series) via streaming ...

Fervo Energy Company

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Working across Data Science, AI Engineering, IT Infrastructure, domain SMEs, and business ... Ingest and process high-volume IoT and historian data (sensor, SCADA, time-series) via streaming ...

Raytheon

Sr. Production Hardware Team Lead

Houston, TX

$18 - $24.50/hr

MS in Engineering, Science, Mathematics or Equivalent. * Production process knowledge of CCA, EO, RF, Seeker Sensor, or electronic subsystems; including circuit design, CCA assembly, electrical test ...

Staffingine LLC

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Work closely with data science teams to operationalize AI models on drone data * Systems Cloud ... Sensor data RGB thermal LiDAR * Data Analytics * Experience handling largescale video and image ...

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Showing results 21-40

All JobsSensor Scientist JobsSensor Scientist Jobs in Spring, TX

Sensor Scientist information

See Spring, TX salary details

$44.9K

$99.1K

$122.4K

How much do sensor scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for sensor scientist in Spring, TX is $99,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $121,900.00 per year, depending on experience, location, and employer.

What is a sensor scientist?

Sensor Scientists are professionals who research, design, develop, and test sensors used to detect and measure physical properties such as temperature, pressure, motion, light, or chemical composition. They work in a variety of industries including electronics, automotive, environmental monitoring, healthcare, and manufacturing. Sensor Scientists often collaborate with engineers to improve existing sensor technology or create new types of sensors for specialized applications. Their work involves both theoretical analysis and hands-on experimentation to enhance sensor performance, reliability, and integration into systems.

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

A Sensor Scientist typically needs a solid background in physics, chemistry, or engineering, along with experience in sensor design, data analysis, and a relevant advanced degree. Familiarity with analytical tools, simulation software, and laboratory instrumentation is crucial, and certifications in areas like instrumentation or materials science can be advantageous. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for excelling in this field. These competencies enable Sensor Scientists to innovate, accurately interpret sensor data, and collaborate effectively across multidisciplinary teams.

What are some common challenges sensor scientists face when developing new sensor technologies?

Sensor Scientists often encounter challenges such as ensuring sensitivity and accuracy of new sensors while maintaining cost-effectiveness and scalability for manufacturing. Integrating sensors with existing hardware and software platforms can also be complex, requiring close collaboration with engineers and data scientists. Additionally, staying up-to-date with rapidly evolving materials and technology standards is crucial, as is navigating regulatory requirements for safety and environmental impact.

What is the difference between Sensor Scientist vs Sensor Engineer?

AspectSensor ScientistSensor Engineer
CredentialsTypically requires a master's or Ph.D. in physics, chemistry, or materials scienceUsually holds a bachelor's or master's in electrical engineering, mechanical engineering, or related fields
Work EnvironmentResearch labs, academic institutions, or R&D departmentsManufacturing facilities, product development teams, or engineering firms
Primary FocusDeveloping new sensor materials and understanding sensor phenomenaDesigning, testing, and implementing sensor systems for practical applications
Industry UsageResearch and development, academia, specialized industriesElectronics, automotive, aerospace, consumer devices

Sensor Scientists focus on researching and developing new sensor materials and understanding sensor behavior, often working in labs or academic settings. Sensor Engineers apply this knowledge to design and implement sensor systems in real-world products and applications. While both roles require technical expertise, their work environments and primary objectives differ.

How to become a sensor scientist?

To become a sensor scientist, typically a bachelor's degree in engineering, physics, chemistry, or a related field is required, with many roles favoring a master's or Ph.D. in sensor technology, materials science, or electrical engineering. Developing skills in data analysis, instrumentation, and sensor design, along with experience using tools like MATLAB or LabVIEW, is also important. Gaining practical experience through internships or research projects can enhance job prospects in this specialized field.

What job categories do people searching Sensor Scientist jobs in Spring, TX look for?

The top searched job categories for Sensor Scientist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Sensor Scientist jobs?

Cities near Spring, TX with the most Sensor Scientist job openings:

Sensor Scientist jobs near you

Engineer -AI/ML -Time Series & Robotics

MICROVAST INC

Houston, TX • On-site

Full-time

Re-posted 9 days ago

Job description

AI/ML Engineer – Time Series & Robotics

Are you ready to be part of a company that's not just talking about the future, but energetically shaping it? Join the Microvast Team (NASDAQ: MVST), a technology innovator that designs, develops and manufactures lithium-ion battery solutions. Founded in 2006 and headquartered in Stafford, TX, Microvast is renowned for its cutting-edge cell technology and its vertical integration capabilities which extend from core battery chemistry (cathode, anode, electrolyte, and separator) to battery packs. By integrating the process from raw material to system assembly, Microvast has developed a family of products covering a broad breadth of market applications. More information can be found on the corporate website: www.microvast.com

If you’re ready to be part of a company that’s not just adapting to change, but driving it, Microvast is the place for you. Apply now and electrify your career with a true leader in the global energy transformation.

Role Summary

The AI / ML Engineer will develop and deploy machine learning algorithms that analyze multi-sensor time-series data from vehicles and robotic platforms. This position focuses on building robust models that improve system performance, monitoring, and intelligent behavior, working closely with robotics, controls, and embedded teams.

Key Responsibilities
  • Design and implement ML models for time-series sensor data (e.g., currents, torques, IMUs, joint states, vehicle signals, cameras, GPS).
  • Build and maintain data pipelines for collection, preprocessing, feature extraction, and labeling.
  • Prototype algorithms in Python (e.g., PyTorch, TensorFlow) and collaborate with embedded engineers to create deployable, resource-efficient models.
  • Create production level models using C++ to improve efficiency in runtime and resource use from the Python prototype
  • Evaluate model performance using appropriate metrics; iterate to improve robustness and generalization across platforms and use cases.
  • Work with robotics and vehicle engineers to understand requirements and convert them into concrete ML problems and model specifications.
  • Support data visualization, dashboards, and tools for internal users to interpret model outputs and system behavior.
  • Document models, experiments, datasets, and results to ensure reproducibility and traceability.
Required Qualifications
  • Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
  • Experience with embedded / edge AI or model compression and optimization techniques.
  • Hands-on experience with machine learning for time-series or sensor data.
  • Strong proficiency in C++ and ML frameworks.

Experience working with real-world noisy data (e.g., automotive, robotics, industrial, IoT).

  • Familiarity with data science tools and workflows (NumPy, Pandas, Jupyter, etc.).
  • Ability to work in a cross-functional team and communicate technical concepts clearly.
Preferred Qualifications
  • Familiarity with control systems, robotics, or vehicle dynamics.
  • Experience with MLOps tools (experiment tracking, model versioning, CI/CD for ML).
  • Experience with ROS or other multimodal sensor data frameworks
  • Prior work in a product or R&D environment with multi-disciplinary teams.

Expected Compensation

Annual salary + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Applicants for employment at Microvast must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Microvast is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws. Microvast is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Privacy is a top priority for Microvast. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Privacy Policy - Microvast.