Full-Time

Senior Software Engineer

Instrument Software

Posted on 9/17/2025

10x Genomics

10x Genomics

1,001-5,000 employees

Genomics tools for single-cell analysis

Compensation Overview

$183k - $247.6k/yr

+ Equity Grants + Annual Bonus Program

Pleasanton, CA, USA

In Person

Category
Software Engineering (1)
Required Skills
Python
C/C++
Linux/Unix
Requirements
  • Bachelor's degree in computer science, engineering, math, or scientific discipline with 5 years experience; OR Master’s degree with 3 years of experience in software development; OR PHD with 1 year of experience in software development
  • Embedded/Firmware Development
  • C or Modern C++
  • Python3
  • Linux
Responsibilities
  • Designing and developing embedded control software and firmware for cutting edge biological instrumentation platforms
  • Working with mechanical and electrical engineers to inform design and develop appropriate control schemes and interfaces
  • Contributing to the entire software lifecycle from requirements gathering to validation
  • Writing well structured, testable, efficient and maintainable software
  • Taking ownership of calibration and verification tools prototyped by other technical teams (e.g. Optical Engineering, Electrical Engineering) and turning it into robust, deployable software
  • Collaborating with manufacturing teams on the factory floor to troubleshoot new failure modes and identify necessary process or software changes to prevent recurrence
  • Building simulation and observability tools that allow order of magnitude throughputs improvements
  • Effectively communicating complex technical issues to stakeholders with a variety of technical depth
Desired Qualifications
  • Confident usage of Python scientific and numerical computing and visualization packages (e.g. numpy, pandas, matplotlib)
  • EE knowledge (Digital & Analog Design) and familiarity with laboratory test equipment (e.g. digital multimeter, oscilloscope, signal analyzer, etc.)
  • Rapid software prototyping & validation with attention to detail and engineering diligence
  • Strong analytical and problem-solving skills
  • Strong verbal and written communication skills
  • Formal approach to design & architecture of complex systems
  • Exposure to ROS
  • Familiarity with modeling and control of robotic systems (e.g. rigid body transforms, forward/inverse kinematics, motion planning)
  • Familiarity with state estimation algorithms
  • Grasp of the basics of machine vision and experience using toolkits like OpenCV and Scikit-Image. (e.g. SIFT, 2D phase correlation)
  • Background in biology and DNA sequencing is not required. Interest in the field is.

10x Genomics provides instruments, reagents, and software for genomic research focused on single-cell analysis, spatial gene expression, and immune profiling. Its platforms separate thousands of individual cells with cell-specific barcodes, map gene activity in preserved tissue sections, and analyze immune receptor sequences, all processed with accompanying software. The company offers an integrated hardware–consumables–software ecosystem designed for high-throughput workflows with validated end-to-end solutions. Its goal is to help researchers uncover detailed genetic information at single-cell and spatial levels to accelerate discovery and personalized medicine.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Pleasanton, California

Founded

2012

Simplify Jobs

Simplify's Take

What believers are saying

  • AI-scale spatial datasets from 100k-sample initiatives drive long-term consumables revenue.
  • Atera roadmap includes spatial proteomics, automation, and sequencing assays.
  • Early oncology data reveals immune landscapes previously invisible to competitors.

What critics are saying

  • Xenium customers delay purchases, creating Q2-Q3 2026 revenue cliff before recovery.
  • Atera's $495k price and probe costs create adoption barriers in tight funding.
  • NIH budget constraints threaten core academic customer base generating high-margin consumables.

What makes 10x Genomics unique

  • Atera delivers whole-transcriptome spatial analysis with 4x throughput versus Xenium.
  • Catalyst Research Services model eliminates need for researchers to own instruments.
  • Human Cell Atlas 2.0 partnership positions Atera as primary data-generation workhorse.

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Benefits

Comprehensive health benefits

Generous time off

Parental leave

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

0%
Yahoo Finance
Apr 5th, 2026
10x Genomics shares surge 14.6% on AI data initiative and analyst upgrade to 'Outperform

10x Genomics shares rose 14.6% on 31 March 2026 after William Blair upgraded the stock from "Market Perform" to "Outperform", citing the company's genomics platforms and exposure to growing demand for large-scale biological datasets supporting AI development. The upgrade highlighted a major multinational initiative using 10x's Xenium spatial transcriptomics platform to profile up to 100,000 patient tissue samples, reinforcing the company's role in AI-scale spatial data generation. The project joins earlier collaborations like PharosAI and TISHUMAP, which also leverage Xenium for large-scale cancer and tissue studies. Despite the positive AI and Xenium momentum, investors face near-term risks including research funding pressures, pricing challenges and the path to profitability. The company's narrative projects $709.8 million revenue and $110.2 million earnings by 2029.

Cision
Mar 25th, 2026
Bioptimus announces STELA: the world's largest clinically linked spatial biology atlas, alongside key partners 10x Genomics and Broad Clinical Labs.

Bioptimus announces STELA: the world's largest clinically linked spatial biology atlas, alongside key partners 10x Genomics and Broad Clinical Labs. Mar 25, 2026, 07:00 ET The global initiative aims to profile up to 100,000 patient specimens to scale M-Optimus, the world model of biology, representing a ~20x increase in scale over existing data available in the world today * The Launch of STELA: Bioptimus is establishing the largest clinically linked multimodal atlas, starting in oncology and immunology tissue, designed to generate harmonized multi-omics patient data. * A Strategic Partnership with 10x Genomics: Leveraging the Xenium spatial transcriptomics platform as the foundational partner for the launch, the initiative sets a new benchmark for reproducible, AI-ready data generation across leading research institutions worldwide. * A Strategic Partnership with the Broad Clinical Labs: A multi-year agreement with Broad Clinical Laboratories to support STELA via the generation of spatial biology data at scale. * Profiling Up to 100,000 Patient Specimens: Representing a ~20-fold increase in scale over existing spatial biology atlases, STELA will integrate spatial technologies, pathology imaging, multi-omics, and longitudinal clinical data across three continents. PARIS, March 25, 2026 /CNW/ - Bioptimus, a global AI company building the world's first world model for biology, today announced the launch of its Spatial Tissue Embedding Learning Atlas (STELA), a multinational spatial data generation initiative anchored by a partnership with 10x Genomics, Inc. (Nasdaq: TXG) and Broad Clinical Labs. While foundation models for language have thrived on vast digital datasets, biology has long lacked the standardized, high-quality data scale required for a similar breakthrough, particularly for clinical data; Bioptimus is closing this gap by building the data infrastructure necessary to power M-Optimus, the first multimodal and multiscale world model of biology. STELA will serve as the data backbone for M-Optimus, generating massive datasets designed to decrypt the complex organization of human tissues. M-Optimus will leverage this massive multimodal repository to map how molecular and cellular interactions drive disease in fields like oncology and inflammation, ultimately allowing researchers to anticipate patient responses to novel therapies, accelerate drug development, and design more effective immunotherapies. Starting with 10x Genomics" Xenium spatial transcriptomics and designed to integrate additional spatial and molecular profiling technologies over time, STELA will generate harmonized datasets, integrating: high-resolution spatial transcriptomics, matched histopathology imaging, multi-omics data (e.g., genomics, transcriptomics and proteomics), with longitudinal clinical records. The initiative aims to profile up to 100,000 patient tissue specimens across three continents: the United States, Europe, and Asia, establishing the world's largest clinically linked, spatially profiled, multimodal patient data atlas. Participating hospitals and research institutions will contribute samples under standardized protocols and, in return, receive access to rich spatial characterization and foundation model capabilities. This collaboration empowers clinicians to turn raw data into actionable insights through more precise diagnostic and therapeutic strategies. By aligning data generation protocols, data processing and storage, and AI model development within a unified framework at a diverse, global scale, STELA establishes foundational infrastructure for the next era of biological AI. "Today, most patients' diagnostic data is used to inform decisions for only that individual. We envision a world where every patient can contribute insights to better inform the care and treatment outcomes of future patients; just as patients with other diseases, other heritage and even from the past are informing their treatment," said Jean Philippe Vert, PhD, Co-Founder and CEO of Bioptimus. "STELA is the fuel to power M-Optimus, allowing us to map the intricate interactions between cells and tissues, across indications, at unprecedented scales, unlocking a new era of precision medicine." Industry-Shaping Partnerships The collaboration between Bioptimus and 10x Genomics aligns advanced spatial biology technologies with large-scale AI foundation model development, bringing together complementary capabilities to reshape how biomedical data is generated and applied. Using the Xenium platform, STELA will generate highly standardized spatial datasets across participating institutions worldwide, enabling the large-scale, reproducible data generation required for large-scale AI model development. "Many of the most important questions in medicine come down to understanding how cells interact within complex human tissues," said Serge Saxonov, Chief Executive Officer and Co-founder of 10x Genomics. "By enabling spatial profiling at unprecedented scale, STELA will generate foundational datasets that allow researchers to connect the underlying biology with disease outcomes, unlocking new insights that can accelerate and improve therapeutic discovery and development." Bioptimus will anchor its STELA initiative through a landmark collaboration with the Broad Clinical Laboratories, bridging industrial-scale data generation with frontier AI research. This partnership leverages Broad's high-throughput spatial biology capabilities to process biological samples at scale, creating a massive-scale repository of high-resolution spatial transcriptomics data. Beyond data production, the two organizations will co-develop next-generation, AI-driven quality control metrics and predictive tools designed to optimize assay performance and automate biological insights. By integrating Bioptimus's proprietary AI models with Broad's world leading laboratory workflows, this collaboration ensures that the STELA initiative is built on a foundation of unprecedented technical precision, accelerating the development of transformative AI models for the life sciences. "To unlock the true clinical potential of spatial biology, we must pair massive-scale data generation with uncompromising data quality," Niall Lennon, Chief Scientific Officer of Broad Clinical Labs added. "By combining our high-throughput laboratory workflows with Bioptimus's advanced AI, we are co-developing next-generation quality control metrics that ensure the highest data integrity. This unprecedented technical precision guarantees that the insights generated by STELA can be confidently translated into actionable clinical diagnostics and precision therapies." About Bioptimus Bioptimus is a global AI biotech company pioneering the world's first universal foundation model for biology. By combining cutting-edge AI with massive, multimodal, proprietary data generation, Bioptimus is building a unifying framework that connects all scales of biology, from molecules to patients, delivering interpretable, dynamic, and actionable insights. M-Optimus-1 represents the first World Model of Biology. H-Optimus, the foundation model of human histology has over 1 million downloads, and is an industry-leading model being adopted across research, drug discovery, and clinical pipelines. Bioptimus models are in use by 16 of the top 20 pharmaceutical companies. Media Contact: About 10x Genomics 10x Genomics is a life science technology company building products to accelerate the mastery of biology and advance human health. Our integrated research solutions include instruments, consumables and software for single cell and spatial biology, which help academic and translational researchers and biopharmaceutical companies understand biological systems at a resolution and scale that matches the complexity of biology. Our products are behind breakthroughs in oncology, immunology, neuroscience and more, fueling powerful discoveries that are transforming the world's understanding of health and disease. To learn more, visit 10xgenomics.com or connect with us on LinkedIn, X, Facebook, Bluesky or YouTube. SOURCE Bioptimus

PR Newswire
Mar 25th, 2026
Bioptimus launches STELA with 10x Genomics to profile 100K patient specimens for world's largest spatial biology atlas

Bioptimus has launched STELA, the world's largest clinically linked spatial biology atlas, alongside partnerships with 10x Genomics and Broad Clinical Labs. The initiative aims to profile up to 100,000 patient specimens, representing a 20-fold increase over existing spatial biology atlases. STELA will generate harmonised multi-omics patient data starting in oncology and immunology, integrating spatial transcriptomics, pathology imaging and longitudinal clinical records across three continents. The data will power M-Optimus, Bioptimus's world model of biology. The partnership leverages 10x Genomics' Xenium spatial transcriptomics platform and Broad Clinical Labs' high-throughput capabilities. Participating hospitals will contribute samples under standardised protocols and receive access to spatial characterisation and foundation model capabilities. Bioptimus models are currently used by 16 of the top 20 pharmaceutical companies.

Yahoo Finance
Mar 20th, 2026
10x Genomics teams up with PerturbAI, NVIDIA and Allen Institute to build largest in vivo CRISPR brain atlas

10x Genomics has partnered with PerturbAI, NVIDIA and the Allen Institute to create what is described as the largest in vivo CRISPR brain atlas. The collaboration combines 10x Genomics' single-cell and spatial technologies with AI and high-performance computing to map gene function in the brain. The project aims to provide a resource for neuroscience and therapeutic research focused on brain function and disease. The partnership demonstrates practical applications of 10x Genomics' platforms in real-world research programmes, particularly in neuroscience drug discovery. The company currently trades at $17.35, approximately 14% below the $20.14 analyst target. However, 10x Genomics remains unprofitable, reporting a net loss of $43.5 million with a negative net margin of 6.8%, leaving execution risk in focus for investors.

PR Newswire
Feb 12th, 2026
10x Genomics posts $643M revenue for 2025, forecasts up to 4% growth for 2026

10x Genomics, a single cell and spatial biology company, reported fourth-quarter revenue of $166.0 million, up 1% year-over-year. Full-year 2025 revenue reached $642.8 million, though excluding $44.1 million from patent litigation settlements, revenue was $598.7 million, down 2% from 2024. The company announced partnerships with the Cancer Research Institute and PharosAI to build AI-ready cancer research datasets, and collaborations with Dana-Farber Cancer Institute and Brigham & Women's Hospital for clinical research applications. Operating loss narrowed to $19.5 million in the fourth quarter from $49.8 million a year earlier, driven by reduced legal and personnel expenses. Cash and marketable securities totalled $523.4 million, up $130.0 million from the prior year. For 2026, 10x Genomics expects revenue between $600 million and $625 million.

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