Glean WorkSoftware Engineer
Glean Work is hiring a Software Engineer in Mountain View, United States. It pays $187k-$234k a year and Level rates it ; you can apply on Glean Work.
Level's read on this job
- On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
- The listed pay starts 11% above the typical software engineer posting on Level.
- Tools and skills the posting cites include PyTorch and AI agents.
- Level lists 125 other open roles at Glean Work.
- The role was posted in the last few days.
AI in this role
About the Role
Glean Technologies, Inc. has multiple positions available for a Software Engineer. As a Software Engineer, you will help build a software-based platform that can scale indefinitely, including scalable enterprise search solutions. You will work across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products that meet customer needs.
What You Will Do
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Build large-scale, fault-tolerant distributed systems, preferably with knowledge of performance benchmarking tools and performance tuning on Linux-based systems.
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Perform thorough code reviews for peers, including interface design, code quality, and testing strategies.
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Understand customer requirements and implement them in our solution.
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Work closely with the company’s product teams to understand customer requirements and ensure features satisfy those requirements and are delivered effectively and with high quality.
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Implement data ingestion pipelines to retrieve data from enterprise data sources and build a secure search index over that data using C++, Java, Python, or Go.
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Design and implement user interfaces that enterprise workers use to search enterprise content, and design an API to build other search-based applications.
Who You Are
- You have a Master's degree in Computer Science, Computer Engineering, Engineering, or a closely related field. Any suitable combination of education, training and experience is acceptable.
- You have experience working on infrastructure for distributed systems or cloud-native applications, or experience building full-stack applications that span front-end, REST APIs, and application server, or experience training and productionizing machine learning, or information retrieval systems.
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You have experience with C++.
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You have experience with Java.
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You have experience with Python.
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You have experience with Go.
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You have experience with JavaScript.
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You have experience with Distributed Systems.
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You have experience with Machine Learning.
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You have experience with PyTorch.
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You have experience with CI/CD Pipelines.
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You have experience with GCP.
Location: Mountain View, CA. Telecommuting is an option.
Compensation & Benefits
The standard base salary range for this position is $187,075 - $234,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
Submit a resume with references using the apply button on this posting or by email at:
jobs@glean.com at Req.# L25-163426.
#LI-HYBRID
AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.
How we rate this
Software Engineer at Glean Work rates 4 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $187k
- Typical software engineer job
- $168k
This posting starts 11% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used PyTorch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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