As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers’ high-value problems.
Compensation
$179,500.00 - $246,500.00
Responsibilities
Architect and design complex, enterprise-scale Data Platform, Data Lake and Lakehouse solutions.
Provide end-to-end architecture and technical leadership across cloud data platforms, Lakehouse, Data Lake, data integration, batch and streaming processing, data storage, transformation, serving, analytics and downstream consumption.
Provide architecture leadership for ongoing Data Platform production support and operations.
Lead resolution of complex cross-platform production issues involving Databricks, Spark, cloud infrastructure, storage, streaming, data pipelines, networking, security, and data quality.
Lead technical Root Cause Analysis (RCA) for high-impact and recurring incidents.
Build the data foundation that connects neural recordings to scientific discovery, shaping backend architecture, data model, database design, and services.
Responsibilities
Shape the backend architecture and select technologies around the needs of our product, researchers, and engineering team.
Design the data model and relational database schema, including recording identity, configuration, provenance, relationships, indexing, and schema migrations.
Build APIs and services for ingesting, storing, discovering, and retrieving recordings and their metadata.
Design authentication, authorization, and credential flows that make access secure and straightforward.
Collaborate with desktop engineers on robust upload and synchronization workflows that preserve recording integrity.
Requirements
degree in computer science, electrical engineering, computer engineering, or a related field
Lead design, engineering, automation, and adoption of cloud-based storage services on Google Cloud Platform, driving modernization, governance, and operational excellence across hybrid cloud environments.
Compensation
$159,000.00 - $279,000.00
Responsibilities
Design and implement scalable, secure, and resilient storage solutions in GCP
Develop and maintain enterprise storage standards, reference architectures, and engineering best practices
Lead storage strategy initiatives supporting hybrid cloud and multi-cloud adoption
Drive onboarding of new storage products, services, and technologies
Partner with application, platform, security, and infrastructure teams to accelerate cloud adoption
Provides technical direction, guidance and support for architectural development that encompasses multiple technology disciplines, platforms and applications.
Compensation
Pay Range: $111,605.00 - $131,300.00
Responsibilities
Design and implement scalable Databricks Lakehouse architectures supporting enterprise data processing, analytics, and high-volume workloads.
Develop data solutions using Databricks, Python, PySpark, Databricks SQL, and Delta Lake.
Modernize and migrate complex Oracle SQL and PL/SQL workloads to Databricks and cloud-based data platforms.
Design and implement high-volume ETL/ELT pipelines, data ingestion, transformation, orchestration, and integration solutions.
Optimize Databricks performance, including SQL queries, data layouts, compute utilization, jobs, and distributed data processing.
Engineering Manager leading the Atlas Infinite Backup team, responsible for building and operating distributed storage systems, managing a team of engineers, and driving product roadmap and operational excellence.
Compensation
MongoDB’s base salary range for this role in the U.S. is: $137,000—$270,000 USD
Responsibilities
Lead, grow, and manage a team of 6 engineers working in Rust and Java on distributed storage systems
Own the team's roadmap across durability, recoverability, cost efficiency, and compliance
Drive the Atlas Infinite backup roadmap to GA and beyond
Manage customer escalations involving backup, restore, or backup cost
Partner closely with cross-team teams on incremental billing, collection-level restore, and cold collections
The DataPelago Solution Architect will serve as the technical partner to customers throughout the pre‑sales and early‑adoption journey, identifying workloads, designing solutions, leading technical evaluations, and translating requirements back to engineering and product teams.
Locations (2)
San Jose, California, United States
United States
Compensation
The target salary range for this position is 197,200 - 255,200 USD.
Responsibilities
Partner with DataPelago and NetApp Account Executives to identify and qualify technically compelling customer opportunities.
Participate in early customer conversations initiated by NetApp sellers and translate initial interest into structured technical discovery.
Software Engineer focused on building and scaling data infrastructure for next-generation robotics and Physical AI, focusing on high-volume data pipelines and scalable production systems.
Responsibilities
Design, build, and maintain scalable data processing and delivery pipelines.
Develop infrastructure for large-scale data transformation, packaging, and storage.
Work with various data formats, schemas, metadata, and custom client requirements.
Build reliable data delivery pipelines using AWS/GCP and distributed processing technologies.
Collaborate directly with customer engineering teams to develop customized solutions.
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