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Reconstruction Jobs in California (NOW HIRING)

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Reconstruction information

See California salary details

$32.1K

$88.4K

$130.3K

How much do reconstruction jobs pay per year?

As of Sep 5, 2026, the average yearly pay for reconstruction in California is $88,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $103,600.00 per year, depending on experience, location, and employer.

What is a reconstruction?

A Reconstruction job involves repairing, rebuilding, or restoring structures that have been damaged due to disasters, accidents, or aging. Professionals in this field assess damages, develop restoration plans, and coordinate construction efforts to return buildings to a safe and functional state. This work often includes structural repairs, plumbing, electrical work, and cosmetic restorations. Reconstruction jobs can range from minor repairs to complete rebuilding projects, depending on the extent of the damage.

What are the typical daily responsibilities for someone working in reconstruction?

A professional working in Reconstruction is often responsible for assessing structural damage, preparing work areas, and performing repairs or rebuilding tasks such as framing, drywall installation, or finishing work. Daily activities may include reading blueprints, coordinating with project managers and other trades, and ensuring all work meets safety and building code requirements. Collaboration with insurance adjusters and property owners is also common, especially in post-disaster restoration settings. The work environment is typically fast-paced and may involve working on multiple job sites, offering variety and continual learning opportunities.

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

To thrive in a Reconstruction role, such as a Reconstruction Technician or Specialist in construction or disaster recovery, a strong background in carpentry, masonry, and general building repair is essential, often supported by relevant trade certifications or apprenticeships. Expertise with power tools, construction management software, and compliance with safety regulations is commonly required. Teamwork, problem-solving, and effective communication skills help ensure smooth collaboration and adaptability on diverse projects. These abilities are crucial for restoring structures efficiently, to code, and in alignment with client specifications.

What skills are needed for reconstruction?

Reconstruction jobs require skills such as structural assessment, project management, and knowledge of building codes. Strong problem-solving abilities, physical stamina, and proficiency with tools and construction equipment are also important. Certifications like OSHA safety training and experience working in hazardous environments can be beneficial.

What are the most commonly searched types of Reconstruction jobs in California?

The most popular types of Reconstruction jobs in California are:

What job categories do people searching Reconstruction jobs in California look for?

The top searched job categories for Reconstruction jobs in California are:

What cities in California are hiring for Reconstruction jobs?

Cities in California with the most Reconstruction job openings:

Reconstruction jobs near you
Infographic showing various Reconstruction job openings in California as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $88,376 per year, or $42.5 per hour.

Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 4 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

We are in the midst of a revolution where artificial intelligence is helping us accelerate all aspects of our lives. NVIDIA's mission is to accelerate this revolution. By combining NVIDIA's strengths in simulation (Omniverse), world models (Cosmos), foundation models (GR00T), and compute, we strive to bring general intelligence to robots.
NVIDIA is seeking an Engineering Manager to lead our Robotics Neural Reconstruction & Real2Sim Applications team within the Isaac Engineering org! You will lead a group of world-class robotics software and applied research engineers focused on advancing robotics real2Sim technologies and applications for creating digital twins and their workflows at scale, shaping the future of physical AI!
What you'll be doing:
  • Lead, mentor, and grow a high-performing team of robotics software and applied research engineers focused on robotics Neural Reconstruction & Real2Sim Applications.
  • Drive the definition, planning, and execution of projects involving 3D reconstruction, Digital twin creation, and robot simulation & validation tools.
  • Guide the team in advancing Real2Sim and its integration in robot learning developments.
  • Hands-on design, implementation, and deployment of novel algorithms for Neural Reconstruction, Real2Sim and their real-world applications & validation.
  • Collaborate & support other Isaac teams including Sim/Lab, Platform and SQA to deploy, validate, extend and release the capabilities & features on physical robots as well as on at-scale simulations.
  • Ensure effective integration, validation and releases of applied research efforts in collaboration with research teams and on top of NVIDIA's advanced robotics platforms.
  • Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications.
  • Collaborate cross-functionally with product, hardware, and software teams to translate engineering work into impactful products.

What we need to see:
  • PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
  • 8+ overall years of experience working on robotics and deep learning technologies.
  • 3+ years of experience in technical leadership or team management in robotics, autonomous driving, machine learning, or related domains.
  • Strong hands-on programming skills in Python and/or C++; experience with Deep Learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo).
  • Excellent communication, organizational, and interpersonal skills.
  • Familiarity with robot learning, including imitation or reinforcement learning, and robot perception.
  • Experience with robot simulation tools & on robot deployments.

Ways to stand out from the crowd:
  • Leadership in projects involving Neural Reconstruction and/or Generative Simulations.
  • Experience with large-scale model training on GPU clusters.
  • Hands-on experience on robotics simulation, sim-to-real and real-to-sim transfer.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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