"Software Developer Associate"

The School of Engineering
Stanford Engineering has been at the forefront of innovation for nearly a century, creating pivotal technologies that have transformed the worlds of information technology, communications, health care, energy, business and beyond. Our faculty and students are creative risk-takers who pursue excellence across a breadth of disciplines. Our alumni include some of the world's most successful leaders in technology and business. Our staff are critical to enabling Stanford Engineering to accomplish its mission: seeking solutions to some of the world's most urgent challenges and educating leaders who will make the world a better place through the power of engineering principles, techniques and systems.

Founded in 1965, the Stanford Computer Science (CS) Department continues to lead the world in computer science research and education influencing society at levels that remain without parallel among academic institutions. Its spin-offs are among the most successful corporate ventures in the world, and many of the leaders in the academic and corporate research world are graduates of the Stanford CS Department. Computer Science website.

Within the Stanford Artificial Intelligence Lab (SAIL), the Stanford IRIS (Intelligence through Robotic Interaction at Scale) focuses on the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. The group works on robotics and machine learning, and it is affiliated with SAIL, the ML Group, the Stanford Robotics Center, and CRFM.

The IRIS lab is looking for a full-time Software Developer Associate passionate about contributing to exciting research projects related to robotics. This position will work on software development for robotics research projects in the IRIS lab, including projects aiming to improve upon both state-of-the-art models and algorithms for robotic learning. These projects may span topics such as incorporating memory, learning reward functions, autonomous self-improvement, scalable imitation learning, among other topics. This position will execute programming tasks, maintain existing programs, and troubleshoot and analyze such programs under the supervision of Professor Chelsea Finn, and working closely with Stanford PhD students.

In this role, you will:

• Assist with design and development of applications that may involve sophisticated data manipulation.
• Assist with maintaining and updating existing programs.
• Troubleshoot and solve basic technical problems.
• Contribute to documenting changes in software for end users.
• Suggest improvements and/or changes to help increase efficiency.

Education & Experience (Required):

• Bachelor's degree or a combination of education and relevant experience.

Knowledge, Skills, & Abilities (Required):

• Familiarity with latest software and design standards.
• Ability to solve logical problems for technical applications.
• Knowledge of and ability to select, adapt, and effectively use programming methods.
• Ability to recognize and recommend needed changes in user and/or operations procedures.
• Basic knowledge of software engineering principles.
• Strong knowledge of at least one programming language.

Education & Experience (Desired):

• Experience with software design and development, particularly in Python
• Familiarity with the fundamentals of robotics and machine learning.
• Experience with active practice of Git-based version control workflows.
• Experience with machine learning algorithms and tools (e.g. PyTorch, Tensorflow).

Physical Requirements:

• Constantly perform desk-based computer tasks.
• Frequently sit, grasp lightly/fine manipulation.
• Occasionally stand/walk, writing by hand.
• Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds.

Work Standards:

• May work extended hours, evening, and weekends.
• Travel on campus to schools/units.
• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu

Pay Range:
The expected pay range for this position is $48.20 to $59.16 per hour.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

How to Apply:
We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, please submit a cover letter and resume along with your online application. The cover letter should briefly describe why you believe you are a good fit for this position.

*Note: This is a fixed term position ending 10/1/26. Visa sponsorship is not available for this position. All candidates must be eligible to work and live in the U.S. This position has been deemed critical by the School of Engineering Dean's Office and is exempt from the hiring freeze.*

Additional Information

• Schedule: Full-time
• Job Code: 4819
• Employee Status: Fixed-Term
• Grade: H
• Requisition ID: 107821
• Work Arrangement: Hybrid Eligible