Principal Research Scientist, MongoDB
Database Systems
$168-330k
Developer data platform
Posted today
Developer data platform
1001+ employees
Posted today
$168-330k
1001+ employees
Company mission
To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
Role
Who you are
- Ph.D. in Computer Science, Computer Engineering, or a closely related field with a specialization in database systems
- 12+ years of experience applying computer science concepts to large scale software development problems, including databases and distributed systems
- Proven track record of impactful research publications in top-tier database and systems conferences and journals
- Demonstrated expertise in query optimization, efficient data structures, and high-performance database architectures
- Strong background in performance engineering, hardware-aware optimizations, and database engine internals
- Experience in building research prototypes and conducting rigorous empirical studies to validate theoretical models
- Excellent analytical, communication, and interpersonal skills, with the ability to collaborate across teams
What the job involves
- The mission of MongoDB Research is to advance the state of the art in database systems by conducting fundamental and applied research that directly impacts MongoDB's products. Our goal is to foster innovation that benefits MongoDB by addressing critical challenges in data management, performance optimization, security, scalability, and usability. Through collaboration, publication, and active engagement with leading research institutions, we strive to shape the future of database technology and ensure MongoDB remains at the forefront of innovation
- We seek an exceptional researcher specializing in database systems with particular expertise in database architecture, including query optimization, storage engines, indexing, and multicore processing. The ideal candidate will demonstrate a strong track record in designing and implementing highly performant database systems
- Conduct innovative research in query optimization, indexing methods, storage engines, and performance optimization
- Design, prototype, and empirically evaluate novel database systems and architectures that leverage modern hardware features, such as SIMD parallelism, GPU acceleration, and multicore processing
- Collaborate closely with our Engineering teams to translate cutting-edge research into practical solutions applicable in commercial database products
- Publish influential research outcomes in top-tier database and systems conferences and journals (e.g., VLDB, SIGMOD)
- Build a Database Systems research group with a critical mass of 2-3 researchers over the next 1-2 years
- Mentor junior researchers, fostering a collaborative and productive research environment
- Success metrics:
- Within the first three months, you will have established working relationships with key stakeholders across Product and Engineering
- Within the first six months, you will have completed a review of the company’s database roadmap and identified opportunities for research impact. You will have established a clear research agenda for the team
- Within the first twelve months, you will have successfully attracted and interviewed researchers to join the team
Our take
MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.
Essentially, the company develops tools and blueprints to help businesses and organisations modernise their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.
Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2015
$80m
SERIES G
Oct 2013
$150m
SERIES F
Total funding: $311.1m
Company benefits
- Rich health insurance coverage
- Virtual & on-site fitness classes
- Health screenings & telemedicine
- Access to transgender-inclusive health insurance coverage
- Global and internal mobility opportunities
- Equity & Employee Stock Purchase Program
- Pension & retirement programs
- Income Protection
- Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
- Employee Assistance Program
- Mental health counseling
- Free meditation app access
- Fertility & adoption financial assistance
- Parental counseling for new parents
- 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
- 4 weeks of emergency care leave
Company HQ
Theater District, New York, NY
Leadership
Dwight Merriman
(Co-Founder)Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.
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