Senior Autonomous Systems Engineer

Senior Autonomous Systems Engineer

Job Location: Mossville, IL, USA

Shift: M-F, 7am - 3:30pm or 8 AM - 4:30 PM

Employment Type: Temporary

Min Hourly Rate: $40.00

Max Hourly Rate: $47.00

Must Have Skills/Attributes: CANalyzer, Integration Experience, Systems Development, Validation, Vehicle Experience

Desired: Systems Engineering for Autonomous/Embedded Products (5+ yrs); Systems Integration & Validation (5+ yrs); Requirements Engineering & System Architecture (5+ yrs); Embedded Systems, CAN Bus & Ethernet Communication (5+ yrs); Construction Equipment / Autonomous Vehicle / Heavy Equipment Domain (5+ yrs)

Required Minimum Education: Bachelor's Degree

Preferred Education: Master's Degree

Job Description

Required Education/Experience: Bachelor's degree in an accredited Engineering, Computer Science, or related field

Required Qualifications:

The main function of a systems engineer is to apply the principles of computer science and mathematical analysis to the design, development, testing, and evaluation of the software and systems that make computers work. Responsible for helping to define the requirements and architecture for bringing an autonomous machine system together. The role will primarily focus on developing the system integration requirements for multiple systems within an autonomous machine within the Loading, Dozing & Compaction Application Team. These systems can include many different types of onboard electronic systems, as well as process and people interactions. The incumbent needs to be very detail oriented and work well with and through others. They will also need to be capable of making and communicating good decisions around the trade-offs between time, resources, and quality.

Required Technical Skills:

Proven ability to work on production products through design, implementation, customer rollout, and support. Ability to decompose complex customer requirements into achievable technical requirements for the systems that make up the product. Knowledge and experience with Autonomous Systems, preferably a CLIENT Command system. Experience with systems integration over CAN and Ethernet. Strong working knowledge of the Caterpillar Command ecosystem in mining or construction, or other centralized control system architectures which can be drawn upon for design proposals and decisions. Constantly staying abreast of advancements in the Autonomy and mining industries. Provides evidentiary support while giving opinions or recommendations to influence decision making. Conducts tasks in such a way as to build a strong reputation and credibility as an expert in the field.

Top 3 Skills:

Proven experience as a Systems Engineer supporting product development teams focusing on developing autonomous machines, including the integration of software and hardware to deliver autonomous solutions. Prior experience collaborating with systems integration and validation teams for engineering product development, including the validation of software and hardware to deliver autonomous solutions both in the lab and on machine. Knowledge and experience with Construction Equipment such as Articulated Dump Trucks, Hydraulic Excavators and Wheel Loaders

Responsibilities:

Modify existing databases and database management systems or direct programmers and analysts to make changes. Write and code logical and physical database descriptions and specify identifiers of database to the management system or direct others in coding descriptions. Work as part of a project team to coordinate database development and determine project scope and limitations. Review project requests describing database user needs to estimate time and cost required to accomplish project. Applying new autonomous system solutions and technologies on a semi or full autonomous system. Decomposition of Customer requirements into (L6) system level requirements including both hardware and software related requirements. Managing system level requirements and related features in DevOps. Work closely with Machine System teams (L6) to determine the best way to deliver on machine autonomous features, including component selection and system integration. Ensure clear documentation and traceability. Serve as a subject matter expert for Surface Loading Machine Autonomous Solutions. Communicates system readiness and technical risk to stakeholders