Patterned Learning Career
Sr Software Systems Engineer (Remote)
Sr Software Systems Engineer | Patterned Learning Career |United States
Sr. Software Systems Engineer – Remote Job, 3-5+ YearExperience
...Sr Software Systems Engineer | Patterned Learning Career | United States
Sr. Software Systems Engineer – Remote Job, 3-5+ Year Experience
Annual Income: $97K – $122K
A valid work permit is necessary in the US
About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
About The Job
The Software Systems Engineering team is responsible for defining SW development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles. In this role, you will help design and manage processes, methods, and other artifacts needed to build safety-critical software, that will revolutionize transportation in the 21st century.
Responsibilities
- Lead various systems engineering activities that are essential for a successful launch of safety-critical software on a self-driving vehicle
- Interpret industry safety standards such as ISO26262 effectively and identify methods to fulfill those goals in a fast-paced CI/CD software development environment
- Understand existing software architecture and development processes and brainstorm compatible methods for achieving safety goals
- Introduce and manage safety processes for the software organization and guide various teams throughout execution, with strong attention to detail
- Champion the process for qualifying software tools, infrastructure components, as well as 3rd party libraries that are integral to the safe operation of the software system
- Collaborate with the safety team to identify safety requirements, explore redundancy options, and develop methods to ensure system-wide safety goals are met
Qualifications
- Advanced degree in robotics, computer engineering, electronics engineering, aerospace engineering or related fields
- 5+ years of industry experience in robotics, automotive, aerospace, medical devices or related safety-critical and mission-critical fields
- Prior experience working with production software life cycle development process methods (DO178, ISO26262, SPICE or ASPICE, ISO12207)
- Working knowledge of standard systems engineering tools (DOORs, Rationale, JAMA, SysML, Polarion, etc.)
- Have proficiency in C/C++, python, or Matlab programming/debugging skills
- Familiarity with embedded systems, ECU architecture in automobiles, automotive communication interfaces, or automotive software architectures, etc.
Bonus Qualifications
- Shipped software products to market in production automobiles, aircraft, spacecraft or other systems that require safety-critical software in embedded hardware
- Experience with interpreting industry safety standards such as ISO26262 and DO178. Developed processes to fulfill these standards, thoroughly weighing various factors that impact project execution
- Performed qualification of software tools as per relevant safety standards
- Conducted and/or participated in safety audits, defended choices and methods used, and prepared compliance report, deviations etc.
- Subject matter expertise in at least one of these areas. (1) Sensor perception, (2) Motion planning, (3) Drive policy or behavior, (4) Controls and actuation
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.
The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.
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