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Staff Data Engineer- AQNav

SandboxAQ logo

Location
United States
SandboxAQ

Job Description

Ready to join the AQ era?

SandboxAQ is solving challenging problems with AI + Quantum for positive impact. We partner with global leaders in government, academia, and the private sector to identify applications that would benefit from quantum-based applications to current and future commercial challenges. We engage with customers early and throughout the development process to improve market fit.

Our team’s unique approach enables cross-pollination across a diverse range of fields, from physics, computer science, neuroscience, mathematics, cryptography, natural sciences and more! Our success comes from coalescing diverse talent to create an environment where experimental thinking and collaboration yield breakthrough AI + Quantum solutions. Join a culture where thought leadership, diverse talent, employee engagement, and technological impact will create the next tech uproar.

We are deeply committed to education as a means to advance quantum solutions and computing initiatives. We invest in future talent through internship programs, research papers, developer tools, textbooks, educational talks/events and partnerships with universities/talent hubs to attract multi-disciplinary talent. Our hope is to inspire people from all walks of life to be prepared for the quantum era and encourage a path in STEM.

About the Role

As a Data Engineer on the AQNav Team, you will play a crucial role in bridging the gaps between data acquisition and processing, model research, and real-time operation, ensuring the seamless development and operation of machine learning models. Your primary focus will be on designing, building, and maintaining scalable, automated data and machine learning pipelines that facilitate the development, deployment, and monitoring of models in applied research environments. You will collaborate closely with ML researchers and engineers, software engineers, and a diverse team of scientists to streamline the end-to-end data pipeline and machine learning lifecycle.

What You’ll Do

  • Build data ingestion, storage, processing, and reporting pipelines in the cloud
  • Build out data storage, management, reporting tools, and dashboards
  • Build infrastructure for comparing, tracking, and reporting new model performance against existing data sets
  • Build infrastructure to track the history of model versions and performance
  • Establish alerts/notifications when models deviate from expected behavior
  • Iterate rapidly with the prototyping team, domain experts, and external partners to develop insights and continue product development
  • Investigate and develop rigorous, cutting-edge solutions to challenging structured and unstructured calibration problems for real-time application.
  • Solve algorithmic challenges to construct an automated, verifiable, and scalable calibration system
  • Automate the data processing and ML training/reporting pipelines

About You

  • 7+ years of experience designing and creating data processing solutions
  • Proficiency with tools and programming languages related to data engineering (Hadoop, Spark, Scala, Python, etc.)
  • Experience in developing pipelines in Cloud environments such as GCP, AWS, or Azure and willing to utilize GCP
  • Proficiency with databases and SQL language
  • Ability to work in a tight-knit team environment, ability to communicate effectively with others, and able to take initiative and run with minimal supervision
  • Excited to learn new technologies and skills
  • BS, MS, or PhD in a relevant degree (Data Science, Computer Science, Electrical Engineering, Mechanical Engineering, or other related field)
  • Eligible to work on Federal Contracts with the US Government

Nice to Haves

  • Experience with data architecture design
  • Experience with MLOps
  • Experience with Databricks, Snowflake, Redshift, Vertica, Greenplum, or other similar engines
  • Passionate about physics
  • Knowledgeable about navigation
  • Experience with sensor prototypes

SandboxAQ welcomes all.

We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in quantum technology. We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Accommodations: we provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Advice from our career coach

 

To excel in the role of Data Engineer at SandboxAQ's AQNav Team, it is vital to showcase your expertise in data processing, cloud environments, and machine learning pipelines. Here are some key tips to stand out as an applicant:

  • Demonstrate hands-on experience in building data pipelines in cloud environments like GCP, AWS, or Azure.
  • Show proficiency in tools and programming languages such as Hadoop, Spark, Scala, and Python.
  • Highlight your ability to design and create data processing solutions, with at least 7+ years of experience in the field.
  • Emphasize your communication skills and ability to collaborate effectively with cross-functional teams.
  • Showcase your willingness to learn new technologies and skills in a fast-paced environment.
  • Ensure you have a relevant degree in Data Science, Computer Science, or related field, with advanced degrees being a plus.
  • If applicable, mention any experience with data architecture design, MLOps, or specific databases like Databricks, Snowflake, or Redshift.
  • Highlight any passion or knowledge related to physics, navigation, or sensor prototypes.

By focusing on these key areas in your application and interviews, you can position yourself as a standout candidate for the Data Engineer role at SandboxAQ, contributing to the development of cutting-edge AI + Quantum solutions.

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About the job

Jul 13, 2024

Full-time

  1. US United States
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