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Rf Embedded Software Engineer Jobs in Pennsylvania

LHi Group Ltd

Embedded Software Engineer

Pittsburgh, PA · On-site

$122K - $161K/yr

We are looking for an Embedded Software Engineer with 2-4 years of experience to help scale our edge deployment platform for inline manufacturing inspection. You'll be the "rubber meets the road ...

New

Lawrence Harvey

Embedded Software Engineer

Pittsburgh, PA · On-site

$110K - $145K/yr

We are looking for an Embedded Software Engineer with 2-4 years of experience to help scale our edge deployment platform for inline manufacturing inspection. You'll be the "rubber meets the road ...

INNOVATIVE AEROSYSTEMS

Embedded Software Engineer

Exton, PA · On-site

$126K - $167K/yr

Description Responsible for embedded software engineering on Innovative Solutions & Support (IS&S) product platforms. Candidate needs to be able to work in a team environment with other engineers and ...

HELLBENDER Inc.

Embedded Software Engineer

Pittsburgh, PA · Hybrid

$127K - $168K/yr

As an Embedded Software Engineer at Hellbender, you will have a key role in developing new products, including cameras and robotic sensors, from the ground up. You will have the opportunity and ...

Glydways

Senior Embedded Software Engineer

Pittsburgh, PA · On-site

$120K - $157K/yr

As a Senior Embedded Software Engineer , you will own critical firmware domains, lead complex cross-functional projects, and help shape our embedded platform and engineering best practices. This is ...

Benshaw Inc.

Embedded Software Engineer

Pittsburgh, PA · On-site

$127K - $168K/yr

Bachelor's or Master's Degree in Electrical Engineering, Computer Engineering or related field with at least 5-7 years of real-time embedded software design experience or the equivalent combination ...

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Rf Embedded Software Engineer information

What are some common challenges faced by RF embedded software engineers when integrating software with hardware components?

RF Embedded Software Engineers often encounter challenges related to ensuring reliable communication between software and RF hardware modules, particularly due to signal interference, timing constraints, and hardware-software compatibility issues. Debugging and testing in real-world environments can be complex, as subtle hardware anomalies may require close collaboration with hardware engineers for troubleshooting. Additionally, optimizing code for limited memory and processing power while maintaining low latency is a frequent challenge. Familiarity with embedded debugging tools and effective cross-disciplinary teamwork are essential for overcoming these hurdles.

What is an RF embedded software engineer?

RF Embedded Software Engineers are professionals who design, develop, and troubleshoot software that runs on embedded systems with a focus on radio frequency (RF) communications. They integrate hardware and software components to enable wireless communication in devices such as radios, IoT devices, and wireless sensors. Their work often involves programming microcontrollers, optimizing signal processing, and ensuring reliable data transmission. These engineers collaborate closely with hardware and RF design teams to deliver efficient and robust wireless solutions.

What is the difference between Rf Embedded Software Engineer vs Rf Firmware Engineer?

AspectRf Embedded Software EngineerRf Firmware Engineer
CredentialsBachelor's in Electrical Engineering, Computer Science, or related; experience with embedded systemsBachelor's or higher in Electrical Engineering, Computer Engineering; firmware development experience
Work EnvironmentDesigning and developing embedded software for RF hardware in labs or office settingsWriting low-level firmware for RF devices, often in manufacturing or R&D labs
Industry UsageWireless communication, telecommunications, aerospaceWireless devices, RF modules, IoT products

Both roles focus on RF technology and embedded systems, but Rf Embedded Software Engineers typically develop higher-level embedded software, while Rf Firmware Engineers work on low-level firmware directly controlling RF hardware. The roles often overlap, but the main difference lies in the level of software abstraction and specific responsibilities.

What are the key skills and qualifications needed to thrive as an RF embedded software engineer?

To thrive as an RF Embedded Software Engineer, you need a solid background in embedded systems, RF design principles, digital signal processing, and a relevant degree such as electrical engineering or computer engineering. Familiarity with programming languages like C/C++, RF simulation tools (such as ADS or HFSS), and embedded development platforms is typically required, and certifications in wireless communications can be advantageous. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help professionals excel in complex project environments. These competencies are critical for designing reliable, high-performance RF systems that meet industry standards and operational requirements.
What are popular job titles related to Rf Embedded Software Engineer jobs in Pennsylvania? For Rf Embedded Software Engineer jobs in Pennsylvania, the most frequently searched job titles are:
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Rf Embedded Software Engineer jobs near you

Embedded Software Engineer

LHi Group Ltd

Pittsburgh, PA • On-site

$122K - $161K/yr

Other

Posted 3 days ago

New

Job description

We are looking for an Embedded Software Engineer with 2-4 years of experience to help scale our edge deployment platform for inline manufacturing inspection. You'll be the "rubber meets the road" engineer - taking our proven AI-powered inspection system and making it reliable, scalable, and deployable anywhere in the world without heavy on-site support. This is a high-ownership role on a small, gritty team solving real problems for Fortune 500 manufacturers. If you're tired of building demos and want to ship software that runs in real production environments on factory floors, this is for you.
What will you be doing?
  • Building resilient edge software that reliably streams high-throughput image data through edge GPUs and runs inference services in diverse customer network environments
  • Engineering deployment and configuration systems so the platform can be shipped in a box, installed on a production line anywhere in the world, and work flawlessly without heavy on-site support
  • Improving reliability, observability, and recoverability of unattended services running 24/7 on factory floors
  • Partnering with ML engineers to integrate and accelerate models on edge hardware
  • Troubleshooting issues in the field during occasional on-site visits (1-2 trips per quarter) and feeding learnings back into more robust software

Tech stack
Python, C++, Linux, Edge GPUs (NVIDIA), Ethernet/Networking, Docker

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