Design, build, and maintain the data pipelines and models powering Manufacturing Intelligence data lakehouse.
Compensation
$68 - $78/hr.
Responsibilities
Build batch and streaming ingestion into Delta Lake using Auto Loader, Lakeflow Declarative Pipelines, Lakeflow Connect, or Structured Streaming, including CDC feeds from AWS DMS and SAP SLT
Design and maintain bronze, silver, and gold (medallion) layers that follow MOPS naming conventions and data dictionary standards
Build incremental dbt models on Databricks (dbt-databricks), using MERGE and upsert patterns, SCD Type 2, and handling for late or out-of-order records
Model manufacturing data for analytics, such as a single source of truth per unit (SFC), work orders, nonconformances, station results, and first-pass yield, and feed the semantic layer used by analysts
Process large and semi-structured data, such as JSON test payloads, using PySpark and Databricks SQL
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
Nice to have: Databricks Certified Data Engineer Associate or Professional
Nice to have: AWS certification (Solutions Architect Associate)
You will play a leading role in improving data and analytics products and in creating new products and capabilities.
Compensation
RATE RANGE: $125k - $150k
Responsibilities
Invent new solutions for our clients. You will model and optimize the connections and causal relationships that run from an ad's creative all the way to a customer's lifetime value.
Take models from concept to production, then monitor and improve them as client data and ad platforms change.
Work with large, multi-source datasets including real time event data, system of record data, click and spend data, and analytics metadata.
Review model outputs and metrics critically, and catch results that don't add up: unexpected shifts, implausible values, data gaps, leakage or broken assumptions. Then fix or improve the data, logic or models.
Build, test and evaluate machine learning models for attribution, prediction, and optimization.
Requirements
Master’s or Ph.D. in a quantitative discipline (Data Science, Computer Science, Engineering, Statistics, Mathematics, or a natural science)
Bachelor's degree with 7+ years of relevant applied experience
Nice to have: marketing data
Nice to have: ad platforms such as Google Ads and Meta Ads
Support vehicle programs, engineering builds, and operational improvement initiatives by transforming complex supply chain and build-related data into scalable reports, dashboards, databases, visualizations, and decision-ready insights.
Compensation
$33 - $43/hr.
Responsibilities
Design, develop, and maintain recurring and ad hoc reports, dashboards, databases, and analytics solutions.
Create and automate reporting using advanced Excel, Python, and Tableau.
Develop dashboards and visualizations that communicate program health, readiness, risks, and delivery status.
Consolidate data from SAP, Coupa, Jira, Smartsheet, supplier reports, and internal systems into centralized reporting tools.
Perform data validation, reconciliation, and root-cause analysis.
Requirements
Bachelor's degree in Supply Chain Management, Business Analytics, Data Analytics, Engineering, Information Systems, Program Management, or a related field
Lead DSP architecture and algorithm development for space and ground applications.
Compensation
$130,000 - $280,000 / year
Responsibilities
Lead system-level DSP decisions spanning algorithms, modem architecture, firmware/software, ASIC/FPGA implementation, and RF hardware for communications, PNT, radar, and RF sensing systems.
Develop signal-processing solutions for digital beamforming, multi-user/MIMO systems, synchronization, estimation, detection, tracking, interference mitigation, and adaptive communications or sensing.
Model and evaluate end-to-end system and link performance using floating- and fixed-point simulations of modem, beamforming, PNT, radar, and sensor-processing chains.
Translate algorithms into hardware-realizable, bit- and cycle-accurate implementations in partnership with ASIC/FPGA, RF, firmware, and software engineers.
Define and maintain system requirements, interfaces, verification plans, test procedures, and test vectors.
Requirements
B.S. in electrical engineering, computer engineering, computer science, physics, mathematics, or a related STEM field.
Nice to have: M.S. or PhD in electrical engineering or a related discipline
Own the high-voltage and propulsion electrical systems on self-propelled battery-electric railcars and vehicles, including design, integration, qualification, safety, and testing.
Compensation
Base salary: $120,000 – $140,000
Responsibilities
Design and architecture of HV and propulsion electrical systems
Define requirements for traction battery packs and BMS
Drive supplier selection, qualification, and integration
Own HV junction and distribution, fusing and protection
Select, integrate, commission, and tune traction inverters and motors
Requirements
Bachelor's Degree in Electrical Engineering or related technical field
As our Senior Staff Machine Identity and PKI Engineer, you'll set technical standards across SRE, platform and product. You'll own decisions with long-term consequences, from certificate authority (CA) design to post-quantum planning, bringing deep specialist judgment to machine identity, secrets and PKI.
Compensation
$210,000—$270,000 USD
Responsibilities
Build the non-human identity register, covering cloud service accounts, CI credentials, API keys, tokens, certificates and agent identities, each with an owner, scope and rotation date.
Replace static, long-lived credentials with short-lived workload identity using GitHub Actions OIDC, cloud workload identity federation, Kubernetes service account tokens, and SPIFFE/SPIRE where it fits.
Own Nscale's PKI and lead implementation of a certificate lifecycle management platform, with selection currently under way.
Automate issuance and renewal using ACME, cert-manager and EST/SCEP, and implement device certificates for managed endpoints.
Set the machine secrets standard and partner with SRE, who run HashiCorp Vault, on how workloads authenticate to it and use its PKI.
You manage the analytical and operational process behind Noble Machines' scale-up from pilots to commercial fleets of Moby humanoids. You partner with business, engineering, operations, and finance to turn ambiguous business problems into decisions, plans, and operating rhythms. You own the numbers that show whether Moby is working, for our customers and our business.
Compensation
the expected base salary range for this position located in Sunnyvale, CA is $115,000 - $150,000 per year.
Responsibilities
Structure trade lanes and scaling strategy
Run tactical day-to-day execution and operational logistics
Define KPIs (including on-time delivery, days in customs, cost per shipment, and pre-shipment risk mitigation) under trade compliance baseline
Track and report against target ship date for NPI integration
Leverage a proven, tier-one vendor matrix for Global Vendor Network
Requirements
Bachelor's degree in Engineering, Economics, Mathematics, Business, or a related quantitative field
The Senior Software Engineer for our Portals team will be a key contributor to full lifecycle software development while coaching and mentoring other contributors within their technical team. This role is a primary contributor to the software development process for one or more applications and collaborates across the engineering organization to ensure efficient development and delivery of technical solutions.
Compensation
$158,000.00 - $190,000.00
Responsibilities
Contribute as a code author and reviewer within a small team of software engineers
Collaborate across teams to design, develop, test, and support data driven solutions
Contribute to architecture discussions and decision-making both within their team and coordination with interfacing teams
Interface with key project stakeholders, mentor team members, and promote and improve software engineering practices
Demonstrate responsibility, accountability, and dedication to engineering team success
Requirements
Bachelor’s degree in computer science or equivalent experience