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Remote Radar Signal Processing Engineer Jobs in Utah

Varsity Tutors

Applied Mathematics Tutor

Cedar City, UT · Remote

$40/hr

... engineering, physics, finance, and computational science applications. * Conceptual Teaching ... fluid dynamics, signal processing, and operations research contexts. * Curriculum Awareness ...

Varsity Tutors

Applied Mathematics Tutor

Logan, UT · Remote

$40/hr

... engineering, physics, finance, and computational science applications. * Conceptual Teaching ... fluid dynamics, signal processing, and operations research contexts. * Curriculum Awareness ...

Varsity Tutors

Applied Mathematics Tutor

Provo, UT · Remote

$40/hr

... engineering, physics, finance, and computational science applications. * Conceptual Teaching ... fluid dynamics, signal processing, and operations research contexts. * Curriculum Awareness ...

Quora

AI Automation Engineer -Remote

Orem, UT · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Ogden, UT · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Logan, UT · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

West Jordan, UT · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Salt Lake City, UT · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

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All JobsRemote Radar Signal Processing Engineer JobsRemote Radar Signal Processing Engineer Jobs in Utah

Remote Radar Signal Processing Engineer information

What are the key skills and qualifications needed to thrive as a Remote Radar Signal Processing Engineer, and why are they important?

To thrive as a Remote Radar Signal Processing Engineer, you need a strong background in electrical engineering, digital signal processing, and radar theory, typically supported by a relevant degree. Proficiency with MATLAB, Python, C/C++, and tools like Simulink or FPGA development environments is often required, along with familiarity with simulation and analysis software. Excellent problem-solving, communication, and teamwork skills are crucial for collaborating with remote teams and conveying technical concepts clearly. These competencies are essential for developing effective radar solutions, ensuring system reliability, and supporting innovation in distributed engineering environments.

What are some common challenges faced by Remote Radar Signal Processing Engineers and how can they be addressed?

Remote Radar Signal Processing Engineers often encounter challenges such as managing large volumes of complex data, ensuring reliable communication with distributed teams, and debugging system performance without direct access to hardware. To address these challenges, engineers typically rely on advanced simulation tools, maintain clear and regular communication with hardware teams, and use remote desktop solutions to access necessary systems. Emphasizing strong documentation and version control also helps keep projects organized and collaborative in a remote setting.

What are Remote Radar Signal Processing Engineers?

Remote Radar Signal Processing Engineers are professionals who design, develop, and optimize algorithms and systems for processing radar signals, often while working remotely. They analyze raw radar data to extract meaningful information, such as object detection, tracking, and imaging. These engineers use advanced mathematical models and programming to enhance radar system performance and reliability. Their work is crucial in applications like defense, aviation, weather forecasting, and autonomous vehicles.
What are popular job titles related to Remote Radar Signal Processing Engineer jobs in Utah? For Remote Radar Signal Processing Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Radar Signal Processing Engineer jobs in Utah look for? The top searched job categories for Remote Radar Signal Processing Engineer jobs in Utah are:
What cities in Utah are hiring for Remote Radar Signal Processing Engineer jobs? Cities in Utah with the most Remote Radar Signal Processing Engineer job openings:
Remote Radar Signal Processing Engineer jobs near you

Senior Geothermal Reservoir Engineer

Zanskar

Salt Lake City, UT • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

Role Overview 
Title: Senior Geothermal Reservoir Engineer
Hours: Full-Time, Salaried
Location: Salt Lake City, UT, Hybrid (3 days in office, 2 days can be remote)
Benefits Eligible: Yes
Manager: Head of Exploration or Head of Reservoir R&D (depending on applicant's skillset)

Why we exist
Geothermal energy is the most abundant renewable energy source in the world. There is 2,300 times more energy in geothermal heat in the ground than in oil, gas, coal, and methane combined. However, historically it's been hard to find and expensive to develop. At Zanskar, we're building technology to find and develop new geothermal resources in order to make geothermal a cheap and vital contributor to a carbon-free electrical grid.
At Zanskar, we combine deep subsurface expertise with modern data and modeling to improve geothermal discovery and development outcomes. We conduct well tests and build reservoir models to make better calls on well targeting, and field optimization strategy.

Who you are
The Senior Geothermal Reservoir Engineer will play a critical role in understanding and forecasting geothermal reservoir performance and translating that understanding into field development decisions. A successful candidate will:
- Lead - own reservoir engineering workstreams end-to-end: test planning, execution support, interpretation, model updates, and recommendations.
- Model - move fluently between well test interpretation and numerical simulation, and reconcile mismatches between model predictions and field behavior.
- Collaborate - partner closely with geoscience, drilling, facilities, and operations teams to drive alignment and decision quality.
- Teach - raise the technical bar through strong documentation, clear communication, and mentorship across disciplines.

What you'll do
Well test design, execution support, and interpretation
- Plan and oversee well tests and surveillance programs (production tests, injection tests, pressure transient tests, interference tests, falloff/step-rate tests, spinner/PTS campaigns, and tracer tests as appropriate).
- Provide real-time support during tests and interpret results post-test (e.g., permeability-thickness, skin, boundaries, connectivity, injectivity/productivity, and reservoir pressure trends).
- Build repeatable analysis workflows, templates, and QC checks so results are trustworthy and comparable across wells and campaigns.

History matching and integrated reservoir/wellbore modeling
- Build, calibrate, and maintain reservoir models that match observed field history (rates, pressures, temperatures/enthalpy, injectivity/productivity, and tracer/connectivity signals).
- Perform sensitivity and uncertainty analysis; communicate what is known vs. uncertain and what data would most reduce uncertainty.

Forecasting, development planning, and optimization
- Generate production and injectivity forecasts under multiple operational and development scenarios (including uncertainty ranges).
- Evaluate reservoir management strategies (injection allocation, make-up well timing, pump strategies, and remediation options as relevant).
- Translate model outputs into decision-ready recommendations (generation impacts, operational tradeoffs, and key risks).

Data, tooling, and cross-functional communication
- Maintain high-quality operating datasets and ensure completeness and provenance across test data, production/injection data, and well logs.
- Build lightweight analytics (Python/SQL) to automate recurring analyses and monitoring dashboards.
- Present findings via concise memos and reviews; be the owner of the reservoir narrative that leaders and operators can rely on.

What we're looking for
- B.S. (or higher) in Reservoir Engineering, Petroleum Engineering, Mechanical Engineering, Geoscience, or a related field.
- 4+ years of reservoir engineering experience in geothermal and/or analogous subsurface industries (oil & gas, hydrogeology, CCS), with demonstrated ownership of well tests and reservoir modeling work.
Proven excellence in several of the following technical skills:
- Well testing and surveillance: design and interpretation of PTA (build-up, falloff/step-rate), interference/connectivity tests, injectivity/productivity, and tracer-based diagnostics; strong data QC.
- Numerical simulation: develop and update geothermal reservoir models with wellbore models; calibrate against field data and integrate geologic constraints into conceptual and numerical models.
- History matching: ability to adjust parameters systematically, understand non-uniqueness, and communicate uncertainty and model limitations.
- Forecasting: scenario-based production and injectivity forecasts tied to operational constraints; translate results into actionable field recommendations.
- Cross-functional communication: write clear technical memos, present tradeoffs, and collaborate effectively with operations, drilling, and facilities teams.
- Nice-to-haves: reservoir-surface network integration; probabilistic history matching/optimization workflows; fluency in Python and SQL.
Location and Benefits
- The position is based out of our headquarters in Salt Lake City, Utah, and is a hybrid position with periodic travel (~15-30%) to operating geothermal assets.

Benefits include:
- Paid holidays
- 18 days PTO + PTO accrual increase based on tenure
- Medical, dental and vision coverage
- 401k Stock options
- Paid Parental Leave
- Growth opportunities at a company with a direct impact in displacing carbon emissions

Equal Opportunity Employer 
Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.
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