Embedded Software Engineer

Qrypt's mission is to protect the world's data and restore privacy. Qrypt hardens cybersecurity and future-proofs encryption against quantum attacks by eliminating key transmission. Qrypt's unique technology independently generates symmetric keys at multiple endpoints for critical workflows today. We are a passionate team of engineers, physicists, and cryptographers committed to transforming the way the world safeguards data and communications!

Qrypt is looking for an Embedded Software Engineer to join our team. The Embedded Software Engineer will own the design, development, and test of digital logic and embedded software.

This position is in Germantown, MD (hybrid - 4 days in office per week)

What you'll do

• Lead the design, development, and test of systems composing of hardware, digital logic, embedded software, Linux kernel modules, and user-space Linux software
• Assist in the design, review, and debug of analog/mixed signal circuit boards
• Develop a deep understanding of the domain (quantum random number generators, network security systems) to architect future products and systems and validate existing products and systems
• Lead hardware/FPGA/software integration efforts
• Develop manufacturing and test tools and procedures, and supervise their execution
• Use AI-assisted and agentic development tooling to accelerate your work while owning the correctness and quality of everything you ship
• Help shape how the team adopts AI-assisted development (instruction conventions, review standards) as tooling matures
• Assist in project planning and management

What you'll need

• Bachelor's degree in Electrical or Computer Engineering, or a similar technical field, (Math, Physics, Engineering) and/or relevant work experience
• 4+ years of experience developing software for embedded platforms or the Linux kernel
• Expertise in the design and development of embedded systems
• Proficiency with C, C++, bash and/or Python
• Experience in the installation, upgrade, configuration, and performance tuning of Linux-based servers
• Experience with bringing up hardware
• Familiarity with FPGA development, Verilog or VHDL
• Familiarity with RF and low-noise analog circuit and board design
• Familiarity with electronics lab/test equipment (oscilloscope, logic analyzer, etc.)
• Familiarity with implementing signal processing and/or control system algorithms
• Fluency with AI-assisted development and the judgment to apply it where it adds real leverage - reviewing, correcting, and taking full ownership of AI-generated work
• Strong written and verbal communication skills

Benefits & Perks

• Competitive Pay & Equity participation
• Comprehensive health, dental and vision coverage
• Strong 401(k) match
• In-office lunch and snacks
• The opportunity to be part of a company solving one of the most critical technology challenges of our time!

Compensation

The annual base pay range for this role is between $125,000 - $155,000. The actual base salary pay offered may vary based on multiple factors such as qualifications, experience, transferable skills, level of education, and other factors permitted by law. Please note that this salary information is solely for candidates hired to perform work in this location and refers to the amount Qrypt is willing to pay at the time of this posting. The range listed is just one component of Qrypt's total compensation package.

Equal Opportunity Employer

Qrypt is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at [email protected] to obtain assistance.

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.