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Flex Entertainment Representative Jobs (NOW HIRING)

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How much do flex entertainment representative jobs pay per year?

As of Aug 15, 2026, the average yearly pay for flex entertainment representative in the United States is $44,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $43,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Flex Entertainment Representative jobs?

Cities with the most Flex Entertainment Representative job openings:

What are the most commonly searched types of Entertainment Representative jobs?

The most popular types of Entertainment Representative jobs are:

What states have the most Flex Entertainment Representative jobs?

States with the most job openings for Flex Entertainment Representative jobs include:

Infographic showing various Flex Entertainment Representative job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution, with an average salary of $44,219 per year, or $21.3 per hour.

Staff Software Engineer - Edge Mapping

Hivemapper

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Job description

Hivemapper is a decentralized global map data network built by 10s of thousands of mapping devices. High-res sensors like RGB, Stereo Depth, GNSS, IMU, etc. feed sensor fusion and ML models at the edge. Data is automatically uploaded in near realtime over LTE or WiFi. Enterprise tech, mapping, auto, robotaxis, rideshare, and entertainment represent some of the customers consuming data today.
APIs allow anyone to consume precisely extracted Map Features, HD map data, high-res street-level imagery, construction, and driving events for AV simulation. Tech-savvy customers develop and deploy software directly to our dashcams to get realtime data for things like change detection or visual semantic data mining. AI Fleet management tools drive value to large fleets of vehicles.
Edge Mapping
In 2023, we launched our GPU powered 3D reconstruction pipeline to accurately identify and extract map features from imagery and sensor data. As we continued to scale this pipeline globally, we realized that moving as much of this processing as possible to actual hardware would not only speed up processing and vaporize costs, it could also result in vastly superior data quality.
We began shipping our Bee device in January 2025, equipped with high resolution global shutter stereo depth, 4K RGB imagery, cutting edge GNSS/IMU performance, hardware acceleration for ML, and a high speed LTE modem.
We are looking for engineers with experience across sensor-based mapping stacks and mapping systems to help us accelerate our continuous migration and evolution for more and more ML, sensor fusion, and HD map data processing on our devices.
Responsbilities
  • Evolve and architect efficient userspace software systems dealing with rich, high frequency data in realtime
  • Build high-level C++, Python, and TypeScript embedded applications and sensor fusion pipelines, and computer vision systems.
  • Use a data-driven approach to iterating quickly with near-realtime performance monitoring across 10s of thousands of devices worldwide
  • Write high quality software that takes advantage of hardware paths when possible
  • Optimize ML vision models to run on our hardware efficiently.

Qualifications
  • Experience with embedded sensor solutions
  • Solid understanding of map data sensor platforms - RGB, global shutter stereo depth, GNSS, IMUs, etc.
  • Hands-on Linux OS development experience for embedded systems (we use Yocto)
  • Proficiency in C or C++ and at least one of Python, Typescript, Node.JS, OpenVINO, or Go

What We Offer
  • Medical, dental and vision benefits plus FSA
  • Family leave
  • 401(k) program
  • Unlimited Flex PTO
  • Commuter benefits
  • Paid lunch

Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Hivemapper, we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
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.