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Spatial Engineering Jobs in Oregon (NOW HIRING)

OR ยท Hybrid

... spatial accelerators at top tier ML, compiler, and computer architecture venues. What we need to see: * MS or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent ...

Senior / Staff Software Engineer, Mapping

OR ยท On-site +1

$141K - $242K/yr

... spatial databases, and tooling such as QGIS, GDAL, or PostGIS. - Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems. - Experience with large ...

... engineering, and GIS teams. Job Duties / Responsibilities: * Use ArcGIS, ArcFM, and custom ... Perform data conversion, digitizing, spatial and attribute editing, and ongoing database ...

Planet is looking for a Senior Engineering Manager with a proven background in guiding and ... Interest in defense, intelligence or spatial imagery. #LI-REMOTE Application Deadline: May 16, 2026 ...

$101K - $156K/yr

Collaborate with research scientists, software developers, and customer-facing teams to resolve challenges. * Stay informed about emerging tools and methods in spatial omics data analysis.

$101K - $156K/yr

Collaborate with research scientists, software developers, and customer-facing teams to resolve challenges. * Stay informed about emerging tools and methods in spatial omics data analysis.

Geographer

Portland, OR ยท On-site

$45 - $53/hr

Ability to diagnose and resolve spatial data discrepancies, such as correcting datums, coordinating ... Founded and managed by technologists and engineers, AZAD is a leading provider of Technology ...

Geographer

Portland, OR ยท Hybrid

$45 - $53/hr

Ability to diagnose and resolve spatial data discrepancies, such as correcting datums, coordinating ... Founded and managed by technologists and engineers, AZAD is a leading provider of Technology ...

GIS Analyst - Portland

Portland, OR ยท On-site

$80K - $86K/yr

... and engineering clients throughout the Pacific Northwest and beyond. The GIS Analyst combines ... Understanding of GIS data structures, spatial analysis, and spatial data management. * Ability to ...

... and engineering clients throughout the Pacific Northwest and beyond. The GIS Analyst combines ... Understanding of GIS data structures, spatial analysis, and spatial data management. * Ability to ...

GIS Analyst

Portland, OR ยท On-site

$80K - $86K/yr

... and engineering clients throughout the Pacific Northwest and beyond. The GIS Analyst combines ... Understanding of GIS data structures, spatial analysis, and spatial data management. * Ability to ...

Licensed Land Surveyor

Oregon City, OR ยท On-site

$110K - $140K/yr

... spatial data * Conduct topographic surveys, ALTA surveys (American Land Title Association), and construction staking to support engineering and development projects * Prepare detailed sketches ...

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Spatial Engineering information

See Oregon salary details

$44.4K

$100.4K

$163.9K

How much do spatial engineering jobs pay per year?

As of Jun 7, 2026, the average yearly pay for spatial engineering in Oregon is $100,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $114,200.00 per year, depending on experience, location, and employer.

What are some typical projects and responsibilities for a Spatial Engineering professional?

Spatial Engineers are often involved in projects related to land development, urban planning, environmental monitoring, infrastructure design, and resource management. Daily responsibilities may include collecting and analyzing spatial data, creating digital maps or models, conducting site assessments, and collaborating with architects, planners, and construction teams to inform project decisions. They also play a key role in ensuring spatial data accuracy and integrating new technologies into project workflows. As you gain experience, many employers offer advancement opportunities into lead engineering, project management, or specialized consulting roles. This dynamic position is ideal for those who enjoy blending technology with real-world problem-solving in both office and field environments.

What are the key skills and qualifications needed to thrive in the Spatial Engineering position, and why are they important?

To thrive as a Spatial Engineer, you need a solid background in geospatial analysis, mathematics, and civil or environmental engineering, often supported by a relevant STEM degree. Proficiency with GIS software (such as ArcGIS or QGIS), CAD tools, and familiarity with spatial data collection technologies like GPS are typically essential, along with certifications like GISP being advantageous. Strong problem-solving skills, attention to detail, and effective communication are key soft skills, as Spatial Engineers frequently collaborate across disciplines and present technical data to diverse audiences. These competencies are crucial for developing effective spatial solutions, ensuring project accuracy, and driving interdisciplinary project success.

What is a Spatial Engineering job?

A Spatial Engineering job involves using geospatial data, technology, and engineering principles to analyze, design, and manage spatial systems. Professionals in this field work with geographic information systems (GIS), remote sensing, and data modeling to solve environmental, urban planning, and infrastructure challenges. They often collaborate with engineers, scientists, and policymakers to optimize land use, transportation, and resource management. This role requires expertise in mapping, programming, and spatial analysis to support decision-making processes.

Senior Machine Learning Applications and Compiler Engineer, LPX

Senior Machine Learning Applications and Compiler Engineer, LPX

Nvidia

OR โ€ข Hybrid

Full-time

Posted 2 days ago


Job description

We are now looking for a Senior Machine Learning Applications and Compiler Engineer!

NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative!

What you'll be doing:

  • Build, develop, and maintain high-performance runtime and compiler components, focusing on end-to-end inference optimization.

  • Define and implement mappings of large-scale inference workloads onto NVIDIA's systems.

  • Extend and integrate with NVIDIA's SW ecosystem, contributing to libraries, tooling, and interfaces that enable seamless deployment of models across platforms.

  • Benchmark, profile, and monitor key performance and efficiency metrics to ensure the compiler generates efficient mappings of neural network graphs to our inference hardware.

  • Collaborate closely with hardware architects and design teams to feedback software observations, influence future architectures, and codesign features that unlock new performance and efficiency points.

  • Prototype and evaluate new compilation and runtime techniques, including graph transformations, scheduling strategies, and memory/layout optimizations tailored to spatial processors.

  • Publish and present technical work on novel compilation approaches for inference and related spatial accelerators at top tier ML, compiler, and computer architecture venues.

What we need to see:

  • MS or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent experience, with 5 years of relevant experience.

  • Strong software engineering background with proficiency in systems level programming (e.g., C/C++ and/or Rust) and solid CS fundamentals in data structures, algorithms, and concurrency.

  • Hands on experience with compiler or runtime development, including IR design, optimization passes, or code generation.

  • Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations.

  • Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX.

  • Solid understanding of parallel and heterogeneous compute architectures, such as GPUs, spatial accelerators, or other domain specific processors.

  • Strong analytical and debugging skills, with experience using profiling, tracing, and benchmarking tools to drive performance improvements.

  • Excellent communication and collaboration skills, with the ability to work across hardware, systems, and software teams.

  • Ideal candidates will have direct experience with MLIR based compilers or other multilevel IR stacks, especially in the context of graph based deep learning workloads.

Ways to stand out from the crowd:

  • Prior work on spatial or dataflow architectures, including static scheduling, pipeline parallelism, or tensor parallelism at scale.

  • Contributions to opensource ML frameworks, compilers, or runtime systems, particularly in areas related to performance or scalability.

  • Demonstrated research impact, such as publications or presentations at conferences like PLDI, CGO, ASPLOS, ISCA, MICRO, MLSys, NeurIPS, or similar.

  • Experience with large-scale AI distributed inference or training systems, including performance modeling and capacity planning for multi rack deployments.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 23, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993