Software Engineer I- Neural Data Processing, Moore Lab

Howard Hughes Medical Institute

Job Location:

Palo Alto, CA - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Primary Work Address: Beckman Center Stanford CA 94305-5323

Current HHMI Employees click here to apply via your Workday account.

The laboratory of Professor Tirin Moore at Stanford University is seeking a Software Engineer. The Moore lab seeks to understand the neural circuits underlying fundamental perceptual and cognitive addition the team is committed to developing and implementing novel and innovative tools technologies and approaches to fundamental problems in systems and circuit-level neuroscience. For more information about the lab check out: .

About the role:

The role will be in-person with hybrid flexibility and is a perfect opportunity for someone looking for a 1-year fixed-term project. We are looking for a software engineer to develop new features and extend the capabilities of a real-time neural data processing and decoding platform. This includes optimizing GPU-accelerated signal processing pipelines improving system performance under strict latency constraints and building robust interfaces for experimental workflows. The engineer will also help maintain the codebase by triaging and resolving GitHub issues reviewing contributions and addressing bugs that arise as the platform is used in active research settings. The platform is built in C with CUDA-based computation running on NVIDIA GPUs and is being developed both for use within the Moore Lab and for broader adoption by the global neuroscience research community.

What we provide:

A team that believes in continuous learning and cultivates an environment where all members of the group help each other.
Opportunity for growth as a software developer in areas such as CUDA programming analysis of neural data machine learning model applications and real-time applications
Opportunities to learn more about systems neuroscience and neuroengineering
One on one mentorship with graduate students and postdocs
Understanding of project management and system level design of an experimental computer application
Experimental experience with electrophysiological tools and neurophysiological data such as neuronal spiking activity local field potentials and eye tracking
A team culture that champions a healthy work life balance
A competitive compensation package with comprehensive health and welfare benefits
Opportunities for involvement in authoring research articles and development of scientific communication skills

What youll do:

Write good code which means learning to make implementation decisions based on (a) understanding the software development lifecycle spanning customer requirements planning design prototyping agile feedback implementation maintenance testing requirements staging (b) technology selection (c) implementation style (degree of object orientation degree of performance optimization framework leverage) (d) likelihood of reusability or service containerization (e) documentation requirements.
Be responsive to scientists labs and projects. Attend meetings brainstorm sessions building working relationships with scientists post-docs and other software developers and project stakeholders. Active solicitation of feedback and prioritization is important as is timely delivery of working software components.
Continuously improve and build software skillset to increase their impact and project versatility. Additionally new projects will often require becoming familiar with specific tools frameworks and techniques. Learning is expected to be a core job responsibility.
Will effectively communicate with both scientists and team members including ad-hoc conversations meetings presentations emails and group collaboration tools as-needed.
Collaborate with other team members on technology decisions coding style and workflow prioritization. This will require the free give and take of ideas and sometimes require compromising individual preferences.
Support software packages for collaborators and the community.

What you bring:

Bachelors degree in an engineering or scientific discipline or equivalent work experience
Minimum of one year of experience in software development
Experience with scientific programming and algorithms is desirable
Experience working in a research environment a plus
General languages (preferred): C Python MATLAB
CUDA (strongly preferred)
Machine learning knowledge. e.g. logistic regression SVM neural network models
Basic experience with networking and client/server applications
System level design- object oriented programming
Basic knowledge of hardware- digital signaling/ basic circuits
Understanding of real-time latency and computational efficiency

Physical Requirements:

Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet).

Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis.

Please Note:

This job description sets forth the jobs principal duties responsibilities and requirements; it should not be construed as an exhaustive statement however. Unless they begin with the word may the Essential Duties and Responsibilities described above are essential functions of the job as defined by the Americans with Disabilities Act.

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Compensation and Benefits

Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission including competitive pay exceptional health benefits retirement plans time off and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more.

Compensation Range

$83280.00 (minimum) - $104100.00 (midpoint) - $135360.00 (maximum)

Pay Type:

Annual

HHMIs salary structure is developed based on relevant job market data. HHMI considers a candidates education previous experiences knowledge skills and abilities as well as internal consistency when making job offers. Typically a new hire for this position in this location is compensated between the minimum and the midpoint of the salary range.

HHMI is an Equal Opportunity Employer

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Required Experience:

Primary Work Address: Beckman Center Stanford CA 94305-5323Current HHMI Employees click here to apply via your Workday account.The laboratory of Professor Tirin Moore at Stanford University is seeking a Software Engineer. The Moore lab seeks to understand the neural circuits underlying fundamental p...