Advanced Research Embedded Computing Engineer - 6910

About the role

This role is ideal for Ph.D. level engineers and researchers who thrive in exploratory environments and want to push the boundaries of embedded systems, real-time control, and electromechanical design for unmanned underwater vehicle (UUVs) propulsion systems.

Responsibilities

• Design, implement, and test embedded software for propulsion and electromechanical systems, optimizing footprint, power consumption, and thermal signature.
• Support real-time control of motors, actuators, and propulsion subsystems.
• Integrate embedded software with sensors, detection technologies, control electronics, and hardware platforms supporting autonomous operations.
• Arcitect, design, and develop complex firmware solutions implemented in Field-Programmable Gate Arrays (FPGAs), Systems-on-Chip (SoCs), and Complex Programmable Logic Devices (CPLDs).
• Collaborate with cybersecurity experts to enhance encrypted communications and secure system architecture.
• Partner with mechanical, electrical, and systems engineers to refine integrated system designs.
• Support experimental research involving hydrodynamics, acoustics, power systems, and propulsion modeling.
• Participate in design reviews and transition research concepts toward prototype development.
• Contribute to laboratory experimentation, simulation, and proof-of-concept demonstrations.
• Author technical documentation, research reports, and design analyses for customers and stakeholders.

Requirements

• Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related field [A Master’s degree in Electrical Engineering, Computer Science, Aerospace Engineering, or related discipline with a minimum of ten (10) years of relevant industry experience may be substituted].
• Strong foundation in embedded systems and real-time software development.
• Proficiency in C and/or C++ for low-level and real-time applications.
• Experience with control theory, modeling, simulation, or algorithm development.
• Three years of experience Field Programmable Gate Arrays (FPGA) and System on Chip (SoC) design and development experience with Verilog and VHDL.
• Three years of knowledge of Xilinx and/or Altera devices, tools, and ecosystem (e.g., ModelSim, Intel Quartus, Xilinx Vivado).
• Three years of experience with the development of real-time embedded applications and systems on microcontrollers, FPGAs, x86, and/or ARM processors.
• Three years of experience with heterogeneous computer architecture and hardware acceleration techniques.
• Three years of strong embedded programming skills (e.g., C/C++/C#, Java, Python, MATLAB).
• Three years of experience with Linux driver and/or Linux kernel development and Linux build systems (e.g., Yocto).
• Working knowledge of real-time hypervisors (e.g., VxWorks, RTS) and container technologies (e.g., Docker) is desired.
• Experience with real-time operating systems (e.g., QNX, RTLinux) is a plus.
• Understanding of embedded system security requirements and cybersecurity techniques is preferred.
• Experience in subsea technology, acoustics, sonar signal processing, autonomous systems, and/or familiarity with Navy technologies and operations is desirable.
• Proven history of writing successful proposals for U.S. government agencies (e.g., DOE, ARPA-E, CESER, DoD, DARPA) is highly desirable.

Qualifications

• Active U.S. DoD Secret clearance required. (Interim Secret may be considered.)

Skills

• Embedded systems and real-time software development.
• Control theory, modeling, simulation, and algorithm development.
• FPGA and SoC design and development experience.
• Linux driver and kernel development.
• Real-time hypervisors and container technologies.
• Embedded programming skills (e.g., C/C++, C#, Java, Python, MATLAB).
• Subsea technology, acoustics, sonar signal processing, autonomous systems, and Navy technologies.
• Proposals for U.S. government agencies.

Benefits

• Full-time, on-site role located in Niskayuna, NY.

Pay

$173,575 per year

Schedule

On-site