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Software Engineering Lead

At Forest Neurotech, we're not just creating devices; we're building a deeper understanding and personalized treatment of the human brain. Our mission is to pioneer the next frontier of neurotechnology, and we're looking for passionate and experienced people to be a part of this journey. 


We are seeking a highly skilled Software Engineering Lead to lead the design and implementation of Forest’s core software systems, creating a cohesive framework that drives innovation across our brain-computer interface (BCI), real-time data pipelines, and clinician-focused tools. Your work will bridge cutting-edge neurotechnology with robust, user-friendly software solutions, ensuring scalability, security, and seamless integration across experimental, clinical, and data science workflows.


Responsibilities
  • Define and implement the overall architecture for Forest’s software systems, ensuring modularity, scalability, and security.
  • Design the data pipeline, synchronization, and storage of neural and metadata from Forest’s BCI devices to the data science platform.
  • Develop a comprehensive BCI software framework to support the control, analysis, and usability of brain-computer interface systems. This includes robust tools for device configuration and parameter tuning, pipelines for real-time data acquisition and synchronization, integration of stimulus presentation systems, and user-friendly interfaces tailored for clinicians and researchers.
  • Work with the Science team on the integration of the data science platform into the broader software framework and ensure seamless data flow and usability.
  • Collaborate with the Digital Systems Lead on the integration of device-level software with the broader software framework and contribute to software aspects of device control.
  • Design and implement the longer term vision for a patient registry that aligns with regulatory standards and integrates seamlessly with the data pipeline and data science platform
  • Support hardware development and manufacturing testing software needs
  • Adhere to relevant industry standards and regulatory requirements throughout the software development lifecycle. This includes implementing robust documentation, testing, and validation practices to meet compliance expectations for safety, security, and quality in regulated environments.
  • Hiring and managing a small team of direct and indirect contractors and full time employees


Skills & Qualifications
  • Minimum of a BS in Computer Science or related field, PhD preferred
  • Minimum of 5 years of relevant industry software development experience 
  • Proficiency in Python, C++, and system architecture design.
  • Experience with real-time/closed-loop data processing, signal processing, and streaming protocols preferred.
  • Experience with safety, security, and privacy standards for medical software (e.g., HIPAA, GDPR).Experience with hardware-software integration.
  • Experience with javascript is preferredFamiliarity in machine learning, image processing, and signal processing. Specific experience with relevant packages such as PyTorch, SciPy and Pandas is preferred.
  • Embedded systems experience preferredExcellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
  • Demonstrated ability to manage multiple projects and priorities in a fast-paced environment.


Forest is structured as a Focused Research Organization (FRO). FROs are a new type of startup-nonprofit hybrid organization for pursuing advanced scientific projects not achievable in academia or a VC-backed startup. As an FRO, Forest can execute with the intensity and focus of a founder-led startup, but with the mission and operational flexibility to maximally advance neurotechnology and benefit society rather than focusing on near-term company value.

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$150000K
$200000K

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What You Should Know About Software Engineering Lead, Convergent Research

At Forest Neurotech, we are on an exciting mission to revolutionize how we understand and treat the human brain through cutting-edge neurotechnology. We’re currently seeking a dynamic Software Engineering Lead in Palo Alto, CA, to guide our talented team in designing and implementing robust software systems. As the Software Engineering Lead, you will oversee the architectural vision of our software, ensuring that it’s modular, scalable, and secure. Your role will include developing intricate data pipelines that facilitate smooth integration across our brain-computer interfaces (BCI) and clinical tools, ultimately creating user-friendly solutions for clinicians and researchers. You'll collaborate closely with both the Science team and Digital Systems Lead, ensuring the seamless flow of data while bridging software with hardware intricacies. Beyond just technical prowess, we value leadership. You’ll not only manage a team of engineers and contractors, but you’ll also be directly involved with the development of cutting-edge technology in a relaxing and innovative environment. We foster collaboration, inclusivity, and groundbreaking research here at Forest Neurotech, and if you're eager to make a significant impact on the neurotechnology landscape while working alongside passionate professionals, we would love to meet you!

Frequently Asked Questions (FAQs) for Software Engineering Lead Role at Convergent Research
What are the primary responsibilities of a Software Engineering Lead at Forest Neurotech?

The Software Engineering Lead at Forest Neurotech is responsible for defining and implementing the architecture of the software systems, developing real-time data pipelines, creating a comprehensive BCI software framework, and ensuring compliance with industry standards. They also manage a team, facilitate project management, and promote innovation while collaborating across functional teams.

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What qualifications are required to apply for the Software Engineering Lead position at Forest Neurotech?

Candidates applying for the Software Engineering Lead position at Forest Neurotech should ideally possess a minimum of a BS in Computer Science or a related field, with a PhD preferred. Additionally, 5 years of relevant software development experience, proficiency in Python and C++, and familiarity with real-time data processing and associated protocols is essential.

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What technical skills are expected from a Software Engineering Lead at Forest Neurotech?

The Software Engineering Lead position at Forest Neurotech requires proficiency in programming languages like Python and C++, experience in system architecture design, real-time data processing, and knowledge of safety standards such as HIPAA and GDPR. Familiarity with machine learning and signal processing frameworks, as well as embedded systems, would also be advantageous.

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Does Forest Neurotech provide opportunities for personal and professional growth for the Software Engineering Lead role?

Yes, Forest Neurotech encourages personal and professional growth by fostering a collaborative environment where the Software Engineering Lead can work on innovative projects, manage a dedicated team, and explore new technologies in the evolving field of neurotechnology.

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How does the Software Engineering Lead at Forest Neurotech contribute to the development of brain-computer interfaces?

The Software Engineering Lead at Forest Neurotech plays a pivotal role in the development of brain-computer interfaces by overseeing the design of software systems that include robust data pipelines, user-friendly clinician interfaces, and ensuring the overall integration of these systems with hardware elements and regulatory compliance.

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Common Interview Questions for Software Engineering Lead
Can you describe your experience with real-time data processing relevant to the Software Engineering Lead position?

When answering this question, it’s beneficial to detail specific projects where you’ve implemented real-time data solutions. Discuss the tools used, protocols applied, and problems solved, highlighting your technical skills and how they align with the requirements at Forest Neurotech.

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What methodologies do you employ when designing scalable software architectures?

Explaining your approach to software architecture design should include principles like modularity and scalability. Discuss how you prioritize performance, security, and user needs, providing examples of past experiences that showcase successful implementation.

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How do you ensure effective collaboration with cross-functional teams?

To effectively answer this question, share specific strategies that foster collaboration. Speak about tools, regular meetings, or shared documentation that you’ve used to maintain open communication and teamwork with science, digital systems, and other teams.

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What strategies have you utilized to manage multiple projects in a fast-paced environment?

Discuss your time management skills and tools that have helped you prioritize tasks. Share examples of how you've successfully met deadlines and maintained quality in your projects while working in a high-pressure environment, which is crucial for the Software Engineering Lead role at Forest Neurotech.

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How do you approach compliance with industry standards in software development?

When discussing industry standards compliance, emphasize your familiarity with regulations like HIPAA or GDPR. Provide examples of documenting processes, quality assurance practices, and validation techniques you've used to ensure the software meets safety and security requirements.

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Describe your experience with integrating hardware and software systems.

In your response, mention specific examples of hardware-software integration projects. Discuss any challenges faced, how you overcame them, and the outcome. This highlights your technical skills and experience in a key area for the Software Engineering Lead role.

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What are your thoughts on the future of neurotechnology software solutions?

Sharing your insights on the future of neurotechnology software solutions demonstrates your industry knowledge. Discuss trends like AI integration, personalized medicine, or enhancements in BCI technology, indicating how you envision your role contributing to these advancements at Forest Neurotech.

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What did you learn from a failed project and how did that impact your approach to future projects?

It’s vital to demonstrate that you view failures as learning opportunities. Describe a specific failed project, the lessons learned, and how this has positively influenced your subsequent project management and software development strategies.

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How do you keep updated with the latest trends and technologies in software engineering?

Discuss your commitment to lifelong learning. Mention attending conferences, participating in workshops, following industry publications, or engaging with online communities that help you stay current with advancements in software engineering, especially in neurotechnology.

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What strategies do you apply for testing and validating software in regulated environments?

Elaborate on testing methodologies you've applied in past projects, focusing on documentation, automated testing, and how you address regulatory compliance. Highlight examples where these strategies have ensured software quality and safety.

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SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 4, 2024

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