Manage communication system requirements and verification for space stations and satellites.
Compensation
$120,540—$209,520 USD
Responsibilities
Own and manage spacecraft RF system requirements and verification plan
Specify link parameters including modulation, error correction coding, symbol rate, and channel filter
Calculate link budgets, considering data throughput requirements, link conditions, and ground station characteristics
Estimate the expected data throughput and bit error rate based on your link budgets
Maintain link budgets with consideration to on-vehicle antenna patterns, cable losses, radio specifications, and channel conditions for the expected orbit
Requirements
Bachelor's degree in ECE, EE, Physics, or related STEM discipline
Nice to have: MS or PhD in ECE, EE, Physics, or related stem discipline
Codal is hiring a Full Stack Engineer in Lincoln to build web and mobile applications for enterprise clients using TypeScript, React, React Native, Next.js, Node.js or Python and cloud platforms.
Responsibilities
2-4 years building production web applications professionally, across both front end and back end.
Strong JavaScript/TypeScript, with commercial experience of React, Next.js or a similar modern framework.
Back-end development in Node.js or Python, including REST or GraphQL API design.
Experience with relational and document databases such as PostgreSQL, MySQL or MongoDB.
Hands-on experience deploying and running applications on AWS, GCP or Azure.
Senior Machine Learning Engineer responsible for designing, building, and maintaining scalable ML architectures and infrastructure.
Responsibilities
Design and drive development of robust scalable architectures for deploying and managing ML applications
Collaborate with data scientists and engineers to translate business needs into effective ML systems
Own development and maintenance of core functionalities within ML applications, including pipelines, model training, deployment, monitoring and evaluation
Provide technical expertise and lead functional stream of work ensuring timely delivery
Explore and implement latest tools, frameworks and offerings in the ML landscape
A hands-on, 100% individual contributor role within the IT Software Engineering team focused on building internal applications that replace paid SaaS tools, serving as reference architecture for Elastic's own products. The role involves end-to-end ownership from shaping problems and design to shipping and maintenance, specifically focusing on backend systems, data connectors, authorization, and search using AI-assisted agents.
Locations (4)
Seattle, Washington, United States
Los Angeles, California, United States
San Francisco, California, United States
New York City, NY, United States
Compensation
The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. $133,100—$210,600 ... $159,900—$252,900
Develop and evaluate machine‑learning models for borrower repayment behavior
Apply causal inference and experimentation to measure intervention impact
Translate model predictions into decision algorithms
Partner with Product, Engineering, and Operations on payment experiences and collections strategy
Identify machine‑learning opportunities in servicing areas
Requirements
Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field
Implement HDL for digital signal processing of RF systems on FPGAs, and design and optimize these algorithms for Earth observation-related high-performance wireless communication and RF sensing products.
Compensation
The salary range for this role is $158,000-$223,000K, plus a competitive equity grant and comprehensive benefits package.
Responsibilities
Implement and optimize DSP algorithms on FPGAs for real-time execution
Support algorithm prototyping in Python and porting to ARM SoCs
Design, simulate, and implement DSP algorithms for RF applications (Communications, ESM, Radar, etc.)
Collaborate with RF hardware engineers on instrument bring-up, calibration routines, and system integration
Author technical documentation, design specifications, and test reports
The Junior Support Analyst will maintain and optimize real-time market data systems, ensure high availability, and collaborate with users and developers to support global financial market data platforms.
Responsibilities
Maintain and optimize real-time market data systems
Ensure high availability and platform performance
Collaborate with users and developers on global migrations
Monitor systems and ensure platform stability
Identify automation and efficiency improvements
Requirements
Bachelor's degree in computer science or a related STEM subject (science, technology, engineering, maths)
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