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Slam Operator Jobs (NOW HIRING)

slam

Building Maintenance Technician

Saint Louis, MO · On-site

$25.88 - $31.70/hr

Installing, operating, and retrofitting for increased efficiency while maintaining museum parameters. * Gallery Lighting Qualifications: * High school diploma or GED required. * City of Saint Louis:

GuideTech LLC

Senior Navigation Engineer

$107K - $146K/yr

Your work will directly influence the performance of mission-critical autonomy systems operating in ... Knowledge of vision-based navigation, SLAM, or LiDAR-based localization. * Experience developing ...

SLAM

Business Development Director

Chicago, IL · On-site

$130 - $180/hr

Comfort operating both strategically and tactically, setting direction while also executing day-to-day outreach and relationship building * A collaborative mindset and the ability to activate others ...

Nokturnal AI

Be Seen First

Software Engineer - Robotics & Autonomy

Clearwater, FL · On-site

$150K - $217K/yr

... operating in dynamic and GPS-denied environments. This position operates with a high level of ... Experience with SLAM, GPS-denied navigation, or contested environments * Experience with CUDA ...

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Slam Operator information

What is the difference between Slam Operator vs Crane Operator?

AspectSlam OperatorCrane Operator
CertificationsOSHA certification, specialized trainingOSHA certification, crane operation license
Work EnvironmentConstruction sites, industrial facilitiesConstruction sites, shipping yards, industrial plants
Industry UsageMaterial handling, demolition, constructionHeavy lifting, lifting equipment operation
Job FocusOperating slam hammers or compactorsOperating cranes for lifting and moving heavy loads

While both Slam Operators and Crane Operators work in construction and industrial environments, Slam Operators primarily handle equipment like slam hammers and compactors, focusing on material compaction. Crane Operators specialize in operating cranes for lifting and moving heavy materials. Both roles require OSHA certification, but their equipment and specific tasks differ significantly.

What is a slam operator?

Slam Operators are professionals responsible for operating machines or systems that move, sort, or process packages in warehouses or distribution centers. Their main duties include monitoring automated equipment, ensuring packages are correctly labeled and routed, troubleshooting minor machine issues, and maintaining a safe work environment. They play a crucial role in the efficiency of logistics operations, helping to ensure that goods reach their destinations quickly and accurately. Attention to detail and adherence to safety protocols are important in this role.

What are the key skills and qualifications needed to thrive as a slam operator?

To thrive as a Slam Operator, you need a solid understanding of warehouse logistics, equipment operation, and inventory control, often requiring a high school diploma or equivalent. Familiarity with warehouse management systems (WMS), barcode scanners, and material handling tools is typically necessary. Attention to detail, reliability, and strong teamwork skills help ensure efficient and accurate operations. These abilities are crucial for maintaining smooth workflow, minimizing errors, and supporting overall warehouse productivity.

What are some common challenges faced by slam operators, and how can they be addressed in the workplace?

Slam Operators often encounter challenges such as managing repetitive tasks, adhering to strict safety protocols, and handling the physical demands of the job. To address these, many workplaces provide ergonomic training, rotate tasks to reduce fatigue, and foster a strong safety culture through regular briefings. Collaboration with supervisors and maintenance teams is also crucial to ensure that equipment runs smoothly and any issues are quickly resolved, helping to maintain both productivity and safety on the floor.
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Slam Operator jobs near you
Infographic showing various Slam Operator job openings in the United States as of August 2026, with employment types broken down into 43% Full Time, 55% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Software Engineer - Mapping & Localization

WeRide.ai

San Jose, CA • On-site

$130K - $182K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days.
WeRide.ai Silicon Valley team is looking for outstanding Software Engineers to lead our visual mapping and localization efforts. We're looking for an engineer with an advanced degree and experience building mapping and localization systems that work with real data in uncertain environments.
You will be responsible for:
Build state-of-the art mapping pipelines that combine data from a wide variety of sensors, as well as localization algorithms that make use of these maps in realtime.
Requirements:
  • 3 years of professional experience (industrial experience is a plus)
  • Familiar with state of the art theory for visual SLAM and place recognition
  • Highly skilled in probabilistic filtering theory, computer vision and inertial pose theory
  • Fluent in C++. Python skills are a plus
  • Proven track record in implementing computationally expensive algorithm in commodity hardware
  • Prior experience in any of pose estimation, probabilistic filtering, SLAM, nonlinear optimization
  • Comfortable building in undefined and fast paced environments
  • Experience in self driving technologies is a plus

Plus:
  • Knowledge of Linux, and development on Linux systems
  • Knowledge of ROS
  • Experience working in an automotive, aerospace environments
  • Previous experience with robotic or vehicle systems
  • Development experience with embedded systems with real-time constraints
  • Experience with realtime sensor fusion (e.g. IMU, lidar, camera, odometry, radar)

Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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