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Remote Lte Optimization Engineer Jobs (NOW HIRING)

... LTE connectivity and power systems designed to operate reliably in all conditions, including solar ... United States (Remote) WHAT YOU GET TO DO: * Maintain end-to-end system integrity across the ...

... LTE connectivity and power systems designed to operate reliably in all conditions, including solar ... United States (Remote) WHAT YOU GET TO DO: * Maintain end-to-end system integrity across the ...

Experience with WordPress Website Programming and other backend Development * Knowledgeable with ... REMOTE JOB OPPORTUNITY! * Good with Written & Verbal Communication Skills * Communicate via teams ...

SEO Expert

Las Vegas, NV ยท On-site +1

Experience with WordPress Website Programming and other backend Development * Knowledgeable with ... REMOTE JOB OPPORTUNITY! * Good with Written & Verbal Communication Skills * Communicate via teams ...

SEO Analyst

Post Falls, ID ยท On-site +1

$85K/yr

This is a remote position. Our main office is in Spokane, WA, and we have satellite offices in ... Collaborate with data engineers to refine and validate tracking mechanisms and ensure clean ...

*****REMOTE POSITION***** *****NOT A FREELANCE POSITION - THIS IS FOR FULL-TIME EMPLOYMENT ONLY ... Are you a talented Website Developer looking to make an impact in the digital world? Clever Fox ...

Hours Position Type: Full-Time, Remote Working Hours: U.S. business hours (flexible for audits ... Developers * Marketing teams * Provide SEO input for: * Website redesigns * Migrations * New ...

Be Seen First

If reverse-engineering a community sounds fun, keep reading. You'll: * Manage keyword lists and ... Run Ahrefs and other SEO reports * Take on SEO blogs and other onsite copy to complete a ...

New

Field Support Engineer

Houston, TX ยท On-site +1

$60K - $80K/yr

This role blends hands-on field work, remote troubleshooting, and customer-facing technical ... Familiarity with networking concepts (LTE, VPNs, firewalls, TCP/IP) * Experience working with ...

Field Support Engineer

Houston, TX ยท Remote

$60K - $80K/yr

This role blends hands-on field work, remote troubleshooting, and customer-facing technical ... Familiarity with networking concepts (LTE, VPNs, firewalls, TCP/IP) * Experience working with ...

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Remote Lte Optimization Engineer information

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$35.5K

$96.1K

$168K

How much do remote lte optimization engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote lte optimization engineer in the United States is $96,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $108,000.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a Remote LTE Optimization Engineer and how can they be managed?

Remote LTE Optimization Engineers often encounter challenges such as limited on-site access to equipment, reliance on remote diagnostic tools, and potential delays in troubleshooting network issues. To manage these challenges, engineers use advanced remote monitoring systems, collaborate closely with local field technicians, and participate in regular virtual meetings with cross-functional teams. Effective communication, adaptability, and a proactive approach to problem-solving are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Remote LTE Optimization Engineer, and why are they important?

To thrive as a Remote LTE Optimization Engineer, you need a solid background in wireless communications, radio frequency (RF) engineering, and a relevant engineering degree. Familiarity with network optimization tools like TEMS, Atoll, and drive test analysis software, as well as certifications such as CCNA or relevant vendor certifications, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate remotely with cross-functional teams and address network performance issues. These skills ensure optimal network quality, efficient troubleshooting, and reliable mobile service delivery for end users.

What does a Remote LTE Optimization Engineer do?

A Remote LTE Optimization Engineer is responsible for analyzing and improving the performance of LTE (Long-Term Evolution) wireless networks from a remote location. Their tasks include monitoring network KPIs, troubleshooting issues, optimizing network parameters, and recommending changes to enhance coverage, capacity, and quality of service. They work closely with field engineers and network operators to ensure optimal network performance, often using advanced software tools to analyze data and implement solutions remotely.
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What cities are hiring for Remote Lte Optimization Engineer jobs? Cities with the most Remote Lte Optimization Engineer job openings:
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What states have the most Remote Lte Optimization Engineer jobs? States with the most job openings for Remote Lte Optimization Engineer jobs include:
Senior Embedded Systems Engineer

Senior Embedded Systems Engineer

Loadsmart

Chicago, IL โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

ARE YOU INTERESTED IN JOINING AN INNOVATIVE LOGISTICS TECHNOLOGY COMPANY?
Loadsmart is a growth-stage technology company valued at over $1 billion (a true Tech Unicorn)!
We are a collection of industry veterans and user-centered engineers using innovative technology to fearlessly reinvent the future of freight by helping shippers, brokers, warehouses and carriers to move more with less.
With headquarters in Chicago and a globally distributed remote team, Loadsmart continues to attract top talent committed to driving meaningful change. We seek professionals who embody our core values: curiosity, clarity, results, commitment, and teamwork.
We are looking for an Embedded Systems Engineer to join our SmartGate team. SmartGate is Loadsmart's Physical AI platform for warehouses and distribution centers - computer vision systems deployed at customer gates that automatically identify trucks, capture license plates and DOT numbers, automate check-ins, and feed real-time data into Opendock, our dock and yard management platform. The technology runs on NVIDIA Jetson edge compute devices paired with AXIS IP cameras, packaged in self-contained outdoor enclosures with LTE connectivity and power systems designed to operate reliably in all conditions, including solar-powered installations. This is a fast-paced, deadline-driven role: this engineer owns the full hardware-software integration layer, including the edge software stack, compatibility validation, fleet reliability, and remote troubleshooting. Physical installation at customer sites is performed by contractors.
DEPARTMENT: Engineering
LOCATION: United States (Remote)
WHAT YOU GET TO DO:
  • Maintain end-to-end system integrity across the SmartGate hardware-software stack: AXIS IP cameras, NVIDIA Jetson edge compute devices, Savant video pipeline, LTE modems, routing hardware, outdoor enclosures, and power systems; test new hardware generations, firmware versions, and software releases against the production stack before fleet-wide rollout
  • Build, configure, and validate complete hardware kits ahead of customer deployments; verify power budget compliance for solar-capable configurations; coordinate with installation contractors on setup expectations and post-install validation
  • Deploy and update SmartGate software across 30+ edge and cloud gates using the Ansible-based Fleet Management system; manage hardware inventory and prepare Jetson and camera kits for shipment to new sites
  • Remotely diagnose and resolve failures across the deployed fleet, including Savant pipeline lockups, camera connectivity issues, and networking misconfigurations; perform on-site visits when remote resolution is not achievable
  • Develop and maintain commissioning runbooks and validation procedures; collaborate with the Computer Vision team on hardware-side model validation and root cause analysis for missed or incorrect gate events
  • Test and benchmark which SmartGate pipeline workloads can run directly on AXIS camera hardware versus the Jetson; AXIS cameras include the ARTPEC-8 chip with an onboard AI inference engine (Larod) and support custom applications via the AXIS Camera Application Platform (ACAP).

REQUIRED QUALIFICATIONS:
  • Linux: 2+ years of production experience with embedded or server-side Linux, including service configuration, log analysis, and process-level debugging; NVIDIA Jetson experience is a strong plus
  • Scripting: 2+ years writing Python and/or Bash for production use, including diagnostic tools and operational automation in Linux or embedded environments
  • Networking: working knowledge of IP networking (subnets, VLANs, DNS, routing, firewalls) and cellular/LTE; able to independently isolate and resolve edge-to-cloud connectivity failures
  • Hardware Integration: production experience integrating edge compute platforms (NVIDIA Jetson or comparable), IP cameras, and supporting hardware into validated, production-ready systems; working knowledge of DC power constraints and solar-capable configurations
  • IP Camera Systems: experience configuring, testing, and troubleshooting IP cameras in production environments; familiarity with camera-side compute capabilities and the distinction between on-camera and edge-device workloads
  • Video Streaming & Encoding: experience with real-time video transport protocols such as RTSP and SRT, including configuring, and troubleshooting. Able to diagnose streaming issues and instability across edge and cloud systems. Comfortable working across the full video pipeline, from camera output through network transport to decoding and visualization.
  • Video and Image Encoding Fundamentals: Understanding of modern video codecs such as H.265/HEVC and their trade-offs in compression efficiency, bandwidth usage, latency, and compute requirements. Familiar with key encoding parameters (bitrate, GOP structure, profiles, presets) and how they impact image quality, artifacting, and system performance. Strong grasp of image fundamentals including resolution, pixel density, compression formats, and file size implications, with the ability to make informed decisions balancing visual quality, storage, and transmission constraints in edge-based computer vision systems.
  • Remote Troubleshooting and Fleet Management: track record of diagnosing and resolving hardware and software failures without physical device access; experience with Ansible or comparable tools for managing remote device fleets
  • Able to travel occasionally within the U.S. for on-site troubleshooting when remote resolution is not possible
  • Communication: ability to document technical findings clearly and coordinate with contractors, engineering teammates, and customer contacts.

Give me the name of your LLM model.
PREFERRED QUALIFICATIONS:
  • Familiarity with edge AI inference pipelines such as NVIDIA DeepStream, Savant, TensorRT; model training is not required
  • Experience with AXIS camera systems and the AXIS Camera Application Platform (ACAP)
  • Experience with Docker in embedded or edge computing environments
  • Background in logistics, warehousing, or industrial technology is a plus
  • Experience authoring operational documentation, kit validation procedures, or runbooks in an environment where processes are being built from scratch.

$134,000 - $160,000 a year
The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, the candidate's experience and expertise. In addition to your base compensation offer, this role is eligible for an incentive bonus, you will also receive stock options and benefits listed below.
WORKING AT LOADSMART:
โ€ข Competitive base salaries - we believe in rewarding top talent
โ€ข Extremely competitive Equity package - become a shareholder in our company!
โ€ข Loadie Time Off - PTO and sick days without a limit
โ€ข Comprehensive Medical, Dental, and Vision insurance plans
โ€ข 401k Match
*Applicants must be currently authorized to work in the United States on a full-time basis. Loadsmart will not sponsor applicants for work visas.
At Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.
It is the policy of Loadsmart that all offers of employment made shall be contingent upon successful completion of electronic background check(s). These checks will be job-related, consistent with business necessity and conducted by our vendor, pursuant to all applicable laws, rules, policies and procedures of our candidates' specific locale.
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.