Robotics Embedded Firmware Developer

2 weeks ago

Seattle, Washington, United States Blue Origin Full time
About Blue Origin

At Blue Origin, we're pushing the boundaries of space exploration and development. Our mission is to make humanity a multi-planetary species, and we're working towards a future where millions of people live and work in space for the benefit of Earth.

Job Summary

We're seeking a highly skilled FPGA/GPU Developer to join our innovative engineering team. As a key member of our Space Systems Development team, you'll be responsible for designing, developing, and implementing complex FPGA configurations and GPU-accelerated applications to meet our product and customer needs.

Key Responsibilities:
  • Design and implement FPGA-based solutions for high-performance computing tasks, ensuring optimal performance, resource utilization, and power efficiency.
  • Develop and optimize GPU-accelerated algorithms and applications using CUDA, aiming for maximized throughput and minimized latency.
  • Translate complex computational problems into parallel processing workflows that efficiently utilize FPGA and GPU architectures.
  • Collaborate with cross-functional teams to integrate FPGA and GPU solutions into broader systems and product offerings.
  • Maintain and extend existing FPGA and CUDA codebases, ensuring code quality, stability, and scalability.
  • Conduct benchmarking and performance analysis to guide the design and optimization process.
  • Support the full development lifecycle, including requirements analysis, design, coding, testing, debugging, deployment, and documentation.
  • Keep abreast of the latest developments in FPGA and GPU technologies, tools, and best practices.
  • Provide thought leadership and technical guidance within the team, mentoring junior developers and contributing to internal knowledge sharing.
Qualifications:
  • Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with a strong track record in electronics and computing.
  • Minimum of 3+ years of hands-on experience with FPGA design and development using hardware description languages such as VHDL or Verilog, including simulation and verification.
  • Minimum of 2+ years of experience in GPU programming with CUDA, with a deep understanding of GPU architecture and the CUDA development environment.
  • Experience with board-level development, including PCB design, prototyping, and debugging, as well as familiarity with industry-standard EDA tools.
  • Proficient with development tools for FPGAs, such as Xilinx Vivado, Intel Quartus, or other relevant software, and capable of taking designs from concept through to hardware implementation and deployment.
  • Extensive knowledge of parallel programming models, optimization techniques, and the ability to write efficient, reliable, and maintainable code.
  • Experience with the deployment of FPGAs and GPUs in embedded systems, including hands-on experience with hardware bring-up, system integration, and performance tuning.
  • Skilled in analyzing system requirements and decomposing complex problems into clear, actionable steps for hardware implementation.
  • Strong foundations in both digital electronics and computer architecture, enabling you to navigate and innovate within the intersection of software and hardware.
  • Good communication and collaboration skills, with a proven ability to work effectively in a multi-disciplinary team and articulate technical concepts clearly.
  • A continuous learner and proactive problem solver, eager to tackle the unique challenges presented in the realm of board development and hardware deployment.
Preferred Qualifications:
  • Advanced degree (Master's or Ph.D.) in Electrical Engineering, Computer Engineering, Computer Science, or a related field with a focus on FPGA/GPU development.
  • Demonstrated experience in image processing, feature detection, and object tracking algorithms, with the implementation of real-time video and image analysis solutions on FPGA and GPU platforms.
  • Strong background in developing computer vision and machine learning solutions, with hands-on experience in embedding AI/ML techniques into hardware platforms for vision-based applications.
  • Familiarity with navigation, localization, and mapping technologies, and experience in applying vision-based machine learning models to these domains, such as SLAM (Simultaneous Localization and Mapping) techniques.
  • Experience with neural network acceleration on FPGAs and GPUs, including familiarity with deep learning frameworks like TensorFlow, PyTorch, and domain-specific libraries for vision applications such as OpenCV, CUDA Vision, and DeepStream SDK.
  • Knowledge of sensor fusion algorithms and their implementation on heterogeneous computing platforms that involve FPGAs and GPUs, enhancing decision-making accuracy in autonomous systems.
  • A proven track record of developing systems that intelligently process and interpret visual data for robotics, automotive, aerospace, or related industries, utilizing state-of-the-art techniques in embedded vision systems.
Compensation Range:

WA applicants is $141,480.00-$198,072.00

Other site ranges may differ

Benefits:
  • Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
  • Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
  • Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.
Equal Employment Opportunity:

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law.

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