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SoC Firmware Engineer

E-Space -
Saratoga, CA

Apply Now

Job Details

Full-time
$150,000 - $220,000 a year

Benefits

Paid holidays
Paid time off

Qualifications

Inter-Integrated Circuit (I2C) protocol
Software engineering
Device driver development
Content creation for technical audiences
Rust (programming language)
Computer Science
Cellular networks
Engineering development testing
Bachelor's degree in electrical engineering
Tooling
Security architecture design
Embedded systems
Firmware
System design
Universal asynchronous receiver-transmitter (UART) protocol
FreeRTOS
Firmware development
Master's degree
System design for system development
SoC
Energy efficiency & conservation
Azure DevOps proficiency
Application design
System validation
Version control systems
RTOS
Software documentation
Operating system security
Cryptographic technology
Developing automated testing protocols

Full Job Description

Saratoga, CA

E-Space US – Engineering & Operations /

Full-Time /

On-Site

Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place!

E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems.

We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life.

We are seeking a highly skilled and motivated Embedded Software Engineer to design, develop, and optimize low-level software with a strong emphasis on software/hardware co-operation. The role involves working closely with hardware engineers to shape firmware architecture, drive hardware bring-up, and ensure seamless integration across the full embedded stack — from BSP and firmware drivers through RTOS services and platform-level software.

What you will do:

Core Responsibilities
- Embedded Software Development: Plan, implement, and verify low-level software for embedded systems, including BSP, firmware drivers, and ROM code.
- RTOS Application and Driver Development: Develop device drivers for accelerators and heterogeneous multi-processor platform applications, as well as system services for operating systems such as Zephyr RTOS or FreeRTOS.
- Software/Hardware Co-design: Plan hardware accelerator usage models and software interfaces, including register definitions, task orchestration, and data flows.
- System Verification: Perform verification tasks related to firmware and hardware interactions, such as data flow profiling and hardware benchmarking.
- Embedded Security: Design and implement security mechanisms at the firmware level, including secure boot, trusted execution environments (TEE), and control flow integrity to ensure robust protection across the platform.
Testing and Automation
- Hardware Simulation and Emulation: Verify software functionality and hardware interactions using simulation and emulation environments, including Hardware-in-the-Loop (HIL) setups and hardware debugging tools.
- Continuous Integration and Test Frameworks: Develop and maintain test frameworks and test vectors for embedded systems; integrate automated testing pipelines with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
Collaboration and Documentation
- Hardware Interaction: Work closely with hardware teams to ensure seamless software-hardware integration and accurate testing scenarios.
- Documentation: Prepare and maintain technical documentation, including testing procedures, logs, and reports for software and hardware validation.

What you bring to this role:

- Embedded C Programming: Strong proficiency in C for embedded systems development; experience with Rust is a plus.
- Scripting: Practical experience with scripting tools and languages such as Bash, awk, Python, Makefiles, and Tcl.
- Embedded Architectures: Familiarity with ARM Corstone reference designs, ARM Cortex processors, and their associated toolchains.
- Low Power Design: Understanding of low-power design principles, energy-efficient algorithms, and power profiling tools.
- Debugging Tools: Proficiency with debugging tools like JTAG, GDB, and serial debuggers.
- Automation Tools: Experience with CI/CD pipelines, Jenkins, GitLab CI, or similar tools.
- Version Control: Expertise with Git or similar version control systems.

Bonus points for the following:

- Experience with TrustedFirmware-M and MCUboot.
- Familiarity with PSA certification processes and requirements.
- Experience with secure firmware updates (OTA) and bootloader development.
- Knowledge of AMBA interconnect protocols (AXI, AHB, APB).
- Knowledge of hardware protocols such as SPI, I2C, UART, and GPIO.
- Familiarity with hardware simulation tools and mock environments for testing.
- Knowledge of embedded security and cryptographic algorithms, including Post-Quantum Cryptography (PQC).
- Familiarity with 3GPP network protocols.
- Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

This is a full time, exempt position, based out of our Saratoga office. The target base pay for this position is $150,000 - $220,000 annually. The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience.

We are redefining how satellites are designed, manufactured and used—so we’re looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that’s your experience – then we’ll be immediately wow-ed.

E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role.

Why E-Space is right for you:

As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry.

We want you to make the most of your journey at E-Space. That’s why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space:

An opportunity to really make a difference
Sustainability at our core
Fair and honest workplace
Innovative thinking is encouraged
Competitive salaries
Continuous learning and development
Health and wellness care options
Financial solutions for the future
Optional legal services (US only)
Paid holidays
Paid time off

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.

Apply Now

Refine Your Search

models models quantum algorithm quantum algorithm algorithms quantum algorithm jobs

SoC Firmware Engineer

Postdoctoral Research Associate: Quantum Algorithms for f-Element Chemistry and Separations

Senior Quantum Computing Libraries Engineer

Sr Mechatronics Engineer/Sr Research Engineer

Communications Specialist - AI

Computational Scientist in the Artificial Intelligence for Science (AIScience)

Senior Machine Learning Engineer – Engineering Intelligence Systems

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Lead Quantum Device Theorist

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Engineering Technical Leader-Technical Leader, Distributed Quantum Computing and Quantum Networking Theorist

Scientist V

Principal Deep Learning Communication Architect

Quantum Computing Measurement Engineer

ASIC Digital Design Engineer

Senior Architect – Agentic Orchestration Frameworks

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