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Lidar Python Phd Jobs (NOW HIRING)

Latitude AI

Senior Hardware Engineer, Lidar

Pittsburgh, PA · On-site

$107K - $143K/yr

... or PhD and 2+ years of relevant experience) * 8+ years of experience in automotive sensing, with ... Strong scripting and analysis capability in python, including hands-on use of NumPy, pandas ...

Seyond

Staff System Engineer

Sunnyvale, CA · On-site

$160K - $200K/yr

... LiDAR or other sensors; OR Master's degree with at least 6 years of experience; OR PhD degree with ... Strong background in algorithms and simulations with MATLAB or Python. Experience of data ...

Seyond

Staff System Engineer

Sunnyvale, CA · On-site

$160K - $200K/yr

... LiDAR or other sensors; OR Master's degree with at least 6 years of experience; OR PhD degree with ... Strong background in algorithms and simulations with MATLAB or Python. Experience of data ...

MicroVision

Staff Optical Engineer

Orlando, FL · Hybrid

$120K - $155K/yr

With our solid-state lidar technologies, encompassing FMCW and MEMS-based long-range lidar and ... MS or PhD in Optical Engineering MicroVision offers a flexible work schedule that could include a ...

MicroVision

Staff Optical Engineer

Orlando, FL · On-site

$120K - $155K/yr

With our solid-state lidar technologies, encompassing FMCW and MEMS-based long-range lidar and ... MS or PhD in Optical Engineering MicroVision offers a flexible work schedule that could include a ...

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How much do lidar python phd jobs pay per year?

As of Jun 7, 2026, the average yearly pay for lidar python phd in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced when working as a Lidar Python PhD in a research or industry setting?

As a Lidar Python PhD, you may encounter challenges such as handling large-scale, high-dimensional point cloud data, ensuring efficient data processing pipelines, and optimizing algorithms for real-time performance. Collaborating with multidisciplinary teams—such as hardware engineers, data scientists, and software developers—is common, and clear communication is key when translating research findings into deployable solutions. Additionally, staying current with advances in both Lidar technology and Python-based machine learning tools is essential for driving innovation and maintaining project relevance.

What is the difference between Lidar Python Phd vs Lidar Data Analyst?

AspectLidar Python PhdLidar Data Analyst
Required CredentialsPhD in relevant field, Python expertiseBachelor's or Master's in related field, some Python skills
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, surveying firms, engineering teams
Industry UsageAdvanced research, algorithm development, academic publishingData processing, visualization, reporting

The Lidar Python Phd typically focuses on advanced research, developing algorithms, and academic contributions, requiring a PhD and strong Python skills. In contrast, a Lidar Data Analyst applies existing tools to process and interpret lidar data in industry settings, often with a bachelor's or master's degree. Both roles involve lidar data and Python, but differ in scope, environment, and expertise level.

What does a Lidar Python PhD professional do?

A Lidar Python PhD professional specializes in analyzing and processing data collected by Lidar (Light Detection and Ranging) systems, typically using the Python programming language. They develop algorithms to interpret 3D spatial data, automate data processing workflows, and contribute to research in fields like geospatial analysis, autonomous vehicles, and environmental monitoring. Their work often involves advanced computational techniques, data visualization, and collaboration with interdisciplinary teams to turn raw Lidar data into actionable insights.

What are the key skills and qualifications needed to thrive as a Lidar Python PhD, and why are they important?

To thrive as a Lidar Python PhD, you need expertise in lidar data processing, advanced knowledge of Python programming, and a doctoral degree in a relevant field such as computer science, remote sensing, or geospatial science. Familiarity with libraries like NumPy, SciPy, and open-source lidar tools (e.g., PDAL, LASpy), as well as experience with data analysis platforms and machine learning frameworks, are typically required. Strong problem-solving abilities, attention to detail, and effective collaboration and communication skills set candidates apart in this role. These competencies are crucial for accurately analyzing complex lidar datasets, developing innovative solutions, and contributing to interdisciplinary research and development projects.
Hardware Engineer, LIDAR Performance Validation

Hardware Engineer, LIDAR Performance Validation

Waymo

Mountain View, CA • Hybrid

$145K - $192K/yr

Other

Posted 23 days ago

Job description

Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.        

This role follows a hybrid work schedule (at least 3 fixed days in the office) and reports to the LiDAR performance lead.

You will:

  • Work closely with electrical, mechanical, manufacturing and reliability engineers to develop and characterize high performance LiDAR systems and electro-optical subsystems
  • Develop bench characterization methods and accompanying physics-based software models to ensure the design is on track to achieve top level performance goals. Develop and maintain performance validation plans that scale appropriately with the design lifecycle from early bench prototypes to high volume production
  • Support definition of appropriate test and calibration procedures to ensure LiDAR data quality at scale. Work with design and test engineers to develop appropriate testing procedures and performance acceptance criteria.
  • Design and oversee execution of LiDAR field measurements and structured tests. Assess impact of environmental conditions on Lidar performance, help develop methods to detect and mitigate data quality impact of adverse environmental factors through experimental design, data mining and analysis
  • Interface with LiDAR software engineers, perception software engineers and systems engineers to help triage field issues related to LiDAR data quality, and aid in requirement derivation to ensure the LiDAR module upholds system-level performance and safety goals
  • Comfortably transition between physics modeling, simulation, large-scale data analysis and hands-on prototyping & testing in the lab

You have:

  • Masters of science with 5+ years experience or PhD in Electrical Engineering, Physics, Applied Physics or equivalent
  • Strong knowledge of depth sensing technologies and hands on experience prototyping/characterizing precision optical, electrical, or mechanical components and assemblies
  • Experience with developing and maintaining physics-based computational models to describe and quantify performance bounds of LiDAR or other optical sensing hardware
  • Track record of innovation and solving challenging technical problems
  • Excellent data analysis, presentation and technical communication skills

We prefer:

  • PhD in Physics, Applied Physics, Electrical Engineering, or a similar field
  • Proficiency with data analysis in Python or C++
  • Experience with designing studies / experiments and hypothesis testing. Previous product development experience is a plus.
  • A track record of working across multiple physics disciplines and hands-on experience with from-scratch analytical physics modeling (e.g. Matlab/Python)
  • Strong understanding of optical semiconductors and optical systems

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