BCI Software Team Lead
Salt Lake City, UT · On-site
The Software Team Lead will oversee a team of engineers, translating innovative research into ... Metal, CUDA, OpenCL), FPGA, or equivalent • Familiarity with cybersecurity principles for ...
BCI Software Team Lead
Salt Lake City, UT · On-site
The Software Team Lead will oversee a team of engineers, translating innovative research into ... Metal, CUDA, OpenCL), FPGA, or equivalent • Familiarity with cybersecurity principles for ...
BCI Software Team Lead
Salt Lake City, UT · On-site
Required : • 10+ years combined education and experience in software engineering, with at least 3 ... Metal, CUDA, OpenCL), FPGA, or equivalent • Familiarity with cybersecurity principles for ...
BCI Software Team Lead
Salt Lake City, UT · On-site
Required : • 10+ years combined education and experience in software engineering, with at least 3 ... Metal, CUDA, OpenCL), FPGA, or equivalent • Familiarity with cybersecurity principles for ...
Cuda Kernel Engineer information
What are common challenges faced by CUDA Kernel Engineers when optimizing GPU code for performance?
Cuda Kernel Engineers often encounter challenges such as managing memory hierarchy efficiently, minimizing data transfer between host and device, and avoiding thread divergence. Ensuring optimal occupancy and maximizing parallelism while preventing bottlenecks like bank conflicts or uncoalesced memory access are also key concerns. Collaborating closely with software architects and data scientists is common, as solutions frequently require balancing algorithmic accuracy with hardware limitations. Addressing these challenges requires continuous profiling, testing, and iterative optimization.
What is a CUDA Kernel Engineer?
Cuda Kernel Engineers are specialized software developers who design, implement, and optimize parallel computing algorithms using NVIDIA's CUDA platform. They write 'kernels,' which are functions that run on Graphics Processing Units (GPUs) to accelerate computational tasks in areas such as machine learning, scientific simulations, and graphics rendering. These engineers need strong skills in C/C++ programming, GPU architecture, and performance optimization techniques. Their work is crucial for applications that require high-speed data processing and efficient resource utilization.
What skills and qualifications are needed to be a CUDA Kernel Engineer?
To thrive as a CUDA Kernel Engineer, you need strong proficiency in C/C++ programming, parallel computing concepts, and a solid foundation in GPU architectures, typically supported by a degree in computer science or a related field. Expertise in NVIDIA CUDA toolkits, GPU profiling tools like Nsight, and familiarity with version control systems are essential. Analytical thinking, problem-solving abilities, and effective collaboration skills help engineers optimize code and work well within development teams. These skills and qualities are crucial for delivering high-performance, scalable GPU solutions in computationally intensive applications.
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Job description
Job Summary:
Blackrock Neurotech is a pioneering company focused on brain-computer interfaces that enhance human capabilities. The Software Team Lead will oversee a team of engineers, translating innovative research into reliable software systems while ensuring compliance with regulatory standards and collaborating with various interdisciplinary teams.
Responsibilities:
• Lead and mentor a team of 5–8 engineers while actively contributing to the codebase
• Own system architecture and technical direction for real-time BCI application software
• Design and maintain low-latency, high-reliability streaming signal-processing pipelines
• Ensure deterministic performance across CPU, GPU, and/or FPGA-accelerated components
• Strengthen cybersecurity and reliability of connected medical-device software systems
• Define and enforce engineering standards, design review processes, and best practices
• Drive software readiness for clinical studies, trials, and regulated device environments
• Balance research prototyping with production-grade software development and long-term maintainability
• Partner closely with neuroscientists on signal processing and algorithm requirements
• Collaborate with hardware and firmware teams on system integration and performance
• Work with clinical teams on study design, trial software needs, and deployment readiness
• Coordinate with Regulatory and Quality teams on documentation, traceability, and verification requirements
Qualifications:
Required:
• 10+ years combined education and experience in software engineering, with at least 3 years building production software in the field
• 3+ years leading or managing engineering teams, with demonstrated success running teams through hiring, mentorship, goal-setting, and performance management
• Proven track record of shipping production software in real-time, embedded, or safety-critical domains
• Experience developing software for, or within, a regulated environment (e.g., for medical device, ISO 13485, FDA QSR/QMSR, or equivalent)
• Demonstrated ability to define and communicate software architecture for complex, multi-component systems to both technical and non-technical stakeholders
• Strong command of real-time architectures, data streaming, and signal processing, including determinism, latency constraints, and resource management
• Proficiency in real-time and/or embedded software development
• Hands-on proficiency in Python for data pipelines, test automation, and prototyping
• Working experience with high-performance compute for low-latency signal processing using GPU (Metal, CUDA, OpenCL), FPGA, or equivalent
• Familiarity with cybersecurity principles for networked or connected medical device software (threat modeling, secure coding practices, vulnerability management)
• Ownership mindset that takes accountability for individual, team, and department outcomes and follows problems through to resolution
• Leads by example, balancing hands-on technical contribution with mentorship and people leadership rather than choosing one over the other
• Sound technical judgment under ambiguity, with the discernment to know when to invest in productization versus prototype and when to escalate
• Curiosity and adaptability through active tracking of advances in real-time systems and neurotechnology and adjusts approach as the company, products, and regulatory landscape evolve
• Excellent communicator and cross-functional coordinator across neuroscience, hardware, firmware, clinical, regulatory, and quality partners
Preferred:
• Prior experience building software for brain-computer interfaces, neural recording systems, or closed-loop neurostimulation
• Deep understanding of real-time and multi-threaded systems, including OS-, scheduler-, or kernel-level performance tuning and debugging
• Strong systems thinking with proven ability to tightly integrate software with hardware, firmware, and clinical workflows
• Experience supporting FDA submissions (IDE, 510(k), De Novo) in a technical or engineering leadership role
• Familiarity with IEC 62304 and design-controlled development, including authoring or reviewing software lifecycle and traceability artifacts
• Experience working within clinical study or trial environments, including software deployment to sites, protocol alignment, and safety reporting
• Experience in startup, scale-up, or deep-tech environments with rapidly shifting priorities and lightweight process structure
• Proven ability to balance research prototyping with disciplined productization, taking ideas from early exploration to regulated, shipped systems without losing technical intent
• Track record of mentoring engineers and building high-trust, inclusive teams that perform under pressure and through ambiguity
• Open-source contributions, publications, or conference talks in real-time systems, neurotechnology, signal processing, or medical device software
• Background in neuroscience, biomedical engineering, or related fields enabling fluent collaboration with scientific and clinical partners
• Experience hiring and scaling engineering teams through rapid growth or regulatory transition periods
Company:
Blackrock Neurotech is the platform for brain-computer interface (BCI) technology and manufacturing. Founded in 2008, the company is headquartered in Salt Lake City, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Blackrock Neurotech is a pioneering company focused on brain-computer interfaces that enhance human capabilities. The Software Team Lead will oversee a team of engineers, translating innovative research into reliable software systems while ensuring compliance with regulatory standards and collaborating with various interdisciplinary teams.
Responsibilities:
• Lead and mentor a team of 5–8 engineers while actively contributing to the codebase
• Own system architecture and technical direction for real-time BCI application software
• Design and maintain low-latency, high-reliability streaming signal-processing pipelines
• Ensure deterministic performance across CPU, GPU, and/or FPGA-accelerated components
• Strengthen cybersecurity and reliability of connected medical-device software systems
• Define and enforce engineering standards, design review processes, and best practices
• Drive software readiness for clinical studies, trials, and regulated device environments
• Balance research prototyping with production-grade software development and long-term maintainability
• Partner closely with neuroscientists on signal processing and algorithm requirements
• Collaborate with hardware and firmware teams on system integration and performance
• Work with clinical teams on study design, trial software needs, and deployment readiness
• Coordinate with Regulatory and Quality teams on documentation, traceability, and verification requirements
Qualifications:
Required:
• 10+ years combined education and experience in software engineering, with at least 3 years building production software in the field
• 3+ years leading or managing engineering teams, with demonstrated success running teams through hiring, mentorship, goal-setting, and performance management
• Proven track record of shipping production software in real-time, embedded, or safety-critical domains
• Experience developing software for, or within, a regulated environment (e.g., for medical device, ISO 13485, FDA QSR/QMSR, or equivalent)
• Demonstrated ability to define and communicate software architecture for complex, multi-component systems to both technical and non-technical stakeholders
• Strong command of real-time architectures, data streaming, and signal processing, including determinism, latency constraints, and resource management
• Proficiency in real-time and/or embedded software development
• Hands-on proficiency in Python for data pipelines, test automation, and prototyping
• Working experience with high-performance compute for low-latency signal processing using GPU (Metal, CUDA, OpenCL), FPGA, or equivalent
• Familiarity with cybersecurity principles for networked or connected medical device software (threat modeling, secure coding practices, vulnerability management)
• Ownership mindset that takes accountability for individual, team, and department outcomes and follows problems through to resolution
• Leads by example, balancing hands-on technical contribution with mentorship and people leadership rather than choosing one over the other
• Sound technical judgment under ambiguity, with the discernment to know when to invest in productization versus prototype and when to escalate
• Curiosity and adaptability through active tracking of advances in real-time systems and neurotechnology and adjusts approach as the company, products, and regulatory landscape evolve
• Excellent communicator and cross-functional coordinator across neuroscience, hardware, firmware, clinical, regulatory, and quality partners
Preferred:
• Prior experience building software for brain-computer interfaces, neural recording systems, or closed-loop neurostimulation
• Deep understanding of real-time and multi-threaded systems, including OS-, scheduler-, or kernel-level performance tuning and debugging
• Strong systems thinking with proven ability to tightly integrate software with hardware, firmware, and clinical workflows
• Experience supporting FDA submissions (IDE, 510(k), De Novo) in a technical or engineering leadership role
• Familiarity with IEC 62304 and design-controlled development, including authoring or reviewing software lifecycle and traceability artifacts
• Experience working within clinical study or trial environments, including software deployment to sites, protocol alignment, and safety reporting
• Experience in startup, scale-up, or deep-tech environments with rapidly shifting priorities and lightweight process structure
• Proven ability to balance research prototyping with disciplined productization, taking ideas from early exploration to regulated, shipped systems without losing technical intent
• Track record of mentoring engineers and building high-trust, inclusive teams that perform under pressure and through ambiguity
• Open-source contributions, publications, or conference talks in real-time systems, neurotechnology, signal processing, or medical device software
• Background in neuroscience, biomedical engineering, or related fields enabling fluent collaboration with scientific and clinical partners
• Experience hiring and scaling engineering teams through rapid growth or regulatory transition periods
Company:
Blackrock Neurotech is the platform for brain-computer interface (BCI) technology and manufacturing. Founded in 2008, the company is headquartered in Salt Lake City, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About Blackrock Neurotech
Sourced by ZipRecruiter
Industry
Medical equipment and supplies manufacturing
Company size
51 - 200 Employees
Headquarters location
Salt Lake City, UT, US
Year founded
2008