Staff Software Engineer, AI Solutions

Sorry, this job was removed at 06:18 p.m. (CST) on Monday, Oct 06, 2025
Easy Apply
Hiring Remotely in California
Remote
189K-285K Annually
Biotech
The Role

About the role

10x Genomics helps researchers answer biology’s hardest and most elusive questions with single cell and spatial biology technology. We're harnessing the power of AI and large language models (LLMs) to revolutionize how researchers interact with their data and drive discovery.

As an AI/LLM Engineer, you’ll be at the forefront of developing intelligent, user-centric solutions that assist scientists and internal teams throughout their research journey—from experimental design and data processing to troubleshooting and advanced analysis. Your work will directly impact how researchers around the world conduct and accelerate their genomic studies.

You'll collaborate with a cross-functional team of data scientists, computational biologists, software engineers, and domain experts to build robust, scalable tools that make complex biological workflows more intuitive and accessible.

Join us in shaping the future of research—where AI meets the frontiers of biology.

What you will be doing

  • Design, build, test, and deploy scalable and efficient backend systems that power AI- and LLM-driven customer experiences and internal tools.
  • Handle large-scale data processing workflows—including data management, normalization, transformation, and vectorization.
  • Build and optimize infrastructure for deploying and monitoring cloud services, ensuring high uptime, low latency, and robust system performance.
  • Collaborate cross-functionally with computational biologists, software engineers, scientists, product managers, and designers to shape AI features that directly address customer pain points in the research journey.
  • Explore and apply modern NLP techniques, including retrieval-augmented generation (RAG), transformers, and fine-tuning/customization of foundation models.

Minimum Requirements

  • Bachelor's degree in computer science, engineering, math, or scientific discipline and 6 years of software development OR 8 years of professional experience building software.
  • Professional experience with AI, natural language processing (NLP), RAG, Embeddings, Vector stores, and GPT models.
  • Four years experience with backend systems (REST APIs, backend services, modern relational database systems).
  • Experience with a cloud environment and services (e.g. AWS, Kubernetes, Docker, Grafana).

Preferred Skills and Experience

  • Experience with large-scale data processing, including wrangling, normalization, and transformation.
  • Proficient working across the stack—from backend services and data infrastructure to application logic and APIs.
  • A background in biology or bioinformatics is not required, but an interest in scientific research and a desire to support the scientific community are highly valued.

Below is the U.S. base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one’s skills, qualifications, experience, and location.  At 10x, base pay is also just one component of the Company’s total compensation package.  This role is also eligible for 10x’s equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program.   During the hiring process, your 10x recruiter can share the specific base pay range for your preferred location and more about the Company’s total compensation package.

Pay Range
$189,100$284,500 USD

About 10x Genomics

At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.
We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.
Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference. 

Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.

10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.

   

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The Company
Pleasanton, CA
1,518 Employees
Year Founded: 2012

What We Do

Accelerating biological understanding and discovery is more than a mission for 10x Genomics. It’s a commitment. Fueled by equal parts scientific vision and determined passion, we are enabling fundamental research across the life sciences by delivering rapid innovation that allows our customers to resolve complex biology—across the fields of oncology, immunology, neuroscience, and more.
As we deliver powerful new methods for discovery, we create opportunities for scientists to address and reveal the true complexities of biology and disease. Already, our products have been adopted by researchers around the world, including 97 of the top 100 global research institutions and 19 of the top 20 global pharmaceutical companies, and have been cited in over 1,200 research papers on discoveries across the life sciences.

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