Lead Firmware Engineer
Waterloo, ON · On-site
... state space neural network algorithm, the Legendre Memory Unit (LMU). The data-efficient LMU ... signal processing, speech recognition, and language processing. To bring the ultimate benefit of ...
Lead Firmware Engineer
Waterloo, ON · On-site
... state space neural network algorithm, the Legendre Memory Unit (LMU). The data-efficient LMU ... signal processing, speech recognition, and language processing. To bring the ultimate benefit of ...
ASIC Architect
Waterloo, ON · On-site
... state space neural network algorithm, the Legendre Memory Unit (LMU). The data-efficient LMU ... signal processing, speech recognition, and language processing. To bring the ultimate benefit of ...
ASIC Architect
Waterloo, ON · On-site
... state space neural network algorithm, the Legendre Memory Unit (LMU). The data-efficient LMU ... signal processing, speech recognition, and language processing. To bring the ultimate benefit of ...
Neural Signal Processing information
What is neural signal processing?
Neural signal processing is the analysis and interpretation of electrical signals generated by neurons in the brain or nervous system. This field combines neuroscience, engineering, and computer science to develop methods and algorithms that can decode, filter, and make sense of complex neural data. Applications include brain-computer interfaces, medical diagnostics, and research into how the brain functions. Neural signal processing is critical for advancing our understanding of neural circuits and developing new treatments for neurological disorders.
What are the key skills and qualifications needed to thrive as a neural signal processing specialist?
To thrive in Neural Signal Processing, you need a solid background in neuroscience, signal processing, and programming, often supported by an advanced degree in biomedical engineering, neuroscience, or related fields. Familiarity with tools like MATLAB, Python, EEG/MEG analysis software, and machine learning frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, advancement of brain-computer interfaces, and successful contributions to neuroscience research.
What are some common challenges faced by professionals in neural signal processing roles, and how can they be addressed?
Professionals in neural signal processing often face challenges such as managing noisy or artifact-laden data, ensuring real-time processing capabilities, and integrating signals from multiple modalities (e.g., EEG, fMRI). Addressing these challenges typically involves staying updated on advanced filtering techniques, collaborating closely with neuroscientists and engineers, and leveraging robust software tools for data analysis. Continuous learning and teamwork are essential, as projects often require interdisciplinary cooperation and adaptation to evolving research protocols.
What is the difference between Neural Signal Processing vs Neural Data Analyst?
| Aspect | Neural Signal Processing | Neural Data Analyst |
|---|---|---|
| Required Credentials | Background in neuroscience, signal processing, programming (Python, MATLAB) | Statistics, data analysis, programming (Python, R) |
| Work Environment | Research labs, healthcare, neurotechnology companies | Data-focused roles in research institutions, healthcare, biotech |
| Industry Usage | Designing algorithms for neural signals, signal decoding | Analyzing neural data sets, interpreting results |
Neural Signal Processing involves developing algorithms to analyze and interpret neural signals, often requiring expertise in signal processing and neuroscience. Neural Data Analysts focus on examining neural data sets to extract insights, emphasizing statistical analysis and data interpretation. While both roles work with neural data, Neural Signal Processing is more technical and algorithm-driven, whereas Neural Data Analysts focus on data interpretation and reporting.
Full-time
Re-posted 4 days ago
Job description
ABR Overview
Applied Brain Research has been a prominent developer of advanced AI solutions for almost a decade and is now developing commercial products based upon its patented state space neural network algorithm, the Legendre Memory Unit (LMU). The data-efficient LMU network is ideal for solving a difficult class of time series AI problems across consumer, medical, industrial and automotive applications, including advanced signal processing, speech recognition, and language processing. To bring the ultimate benefit of LMUs to our customers we are developing purpose built ASICs to achieve the best performance and low power operation possible. We are seeking a highly energetic, enthusiastic, and experienced Firmware Engineer with the aptitude to take our current and future chip development efforts to the next level.
Job Description We are seeking a skilled Lead Firmware Engineer to join our team and lead the development of firmware for our application-specific SOCs (system-on-chips). The ideal candidate will have a strong background in firmware development for secure embedded systems, with a proven track record of delivering robust production code on time. The candidate should be proficient in leading firmware development teams, driving innovation, and ensuring the successful integration of firmware with hardware components.
Responsibilities - Lead the development of firmware for ABR’s application-specific AI processor chips.
- Develop firmware running on embedded MCUs to manage all aspects of product functionality.
- Build and manage firmware development team, providing technical guidance and mentoring.
- Drive innovation in firmware development processes and technologies.
- Ensure seamless integration of firmware with hardware components.
- Collaborate with ASIC and software team members to meet project requirements.
- Conduct thorough testing and debugging of firmware to ensure quality and reliability.
- Document firmware development processes and procedures.
- Support customer integration.
- Bachelor's degree in Electrical Engineering, Computer Engineering, or related field. Master's degree preferred.
- Minimum of 10 years of experience in C and Assembly language firmware development for embedded systems (ARM and ARC a plus).
- Proven track record of delivering high-quality firmware solutions on schedule.
- Proficiency in all aspects of firmware development in open and secure chip environments.
- Experience leading firmware development teams.
- Strong understanding of hardware-firmware integration.
- Knowledge of firmware development best practices and methodologies.
- Excellent debugging and problem-solving skills.
- Strong communication and collaboration skills.
- Experience with Git repositories, version control systems and issue tracking tools.
- Coding experience with Python a plus.
- Ability to work in a fast-paced startup environment.
At ABR, we hold dear our core values and consider them critical to the success of our team and all its key stakeholders:
- Innovation: Great ideas come from trial and error. We recognize risk taking as critical to long-term value creation, especially for very difficult problems. We dedicate time and effort to innovate, recognizing its unpredictable and interactive nature. Our team is empowered to take risks that generate learning fundamental to future breakthroughs.
- Customer Success: Our customers’ success is our success. We are committed to develop leadership products that enable our customers to easily integrate ABR’s world-class AI into their products. We aim to deliver the best customer experience, fully supporting our customers’ needs and making decisions that improve their results.
- Team Play: Collaboration is key to reaching our goals. We cultivate teamwork and value the strengths each team member brings to the table. We know that the most successful teams are those that are inclusive and truly value diversity. We enjoy learning from and supporting others in our team. We are open in our communication amongst all key stakeholders to help align and accelerate our journey to success.
- Commitment to Excellence: We strive to deliver beyond expectations. We understand the challenging nature of our business and the high standards of our customers, partners and investors. We know that success doesn’t come easily and so we plan, execute, and deliver above and beyond expectations.
- Kindness: We treat everyone with respect and kindness. We enjoy what we do and stay centered even when grappling with the largest of challenges. We are direct, candid and constructive in how we provide feedback always with the aim of helping those we interact with. We value the people we work with and act accordingly.
Please submit your resume and cover letter detailing your relevant experience and how you have embodied our core values.