Test Validation Engineer (Clayton)
Belcan, Clayton, NC, United States
Control Systems Engineer (Validation & Integration)
Location:
Clayton, NC (On-site)
Duration:
12 Months Contract
Rate:
Up to $50/hr (W2)
About the Role
We’re hiring a
System Validation Engineer
to support next-generation
remote control and autonomous machine systems . This is a
hands-on engineering role
focused on integrating and validating embedded control systems, communication networks, and vision-based features on real machines.
If you enjoy
debugging complex systems across hardware, software, and networks , this role is built for you.
️
Key Responsibilities
Plan and execute
system-level validation & verification
for machines and integrated systems
Perform
system integration and regression testing
across hardware, software, and controls
Configure machines for testing ( software flashing, setup, instrumentation )
Capture and analyze data using
sensors, loggers, and diagnostic tools
Validate communication interfaces using
Vector tools (CANoe, CANalyzer, CAPL)
and
Wireshark
Troubleshoot complex issues across
embedded systems, controls, and networks
Develop and maintain
test plans, procedures, and validation documentation
Collaborate with cross-functional teams to
resolve defects and validate fixes
✅
Required Qualifications
Bachelor’s degree in
Electrical, Mechanical, Computer Engineering
or related field
4+ years
of experience in
system integration & validation (embedded systems preferred)
Hands-on experience with
machine/system setup, configuration, and instrumentation
Strong knowledge of
CAN, Ethernet, TCP/IP, and communication protocols
Experience with
Vector tools (CANoe, CANalyzer, CAPL)
Experience using
Wireshark
for network analysis and debugging
Strong
troubleshooting and root cause analysis
skills
Ability to work in
cross-functional engineering teams
⭐
Preferred Qualifications
Experience with
automotive, off-highway, or autonomous systems
Exposure to
HIL, SIL, or automated testing frameworks
Experience with tools like
DOORS, Jama, Azure DevOps
Familiarity with
diagnostics, logging, and data analysis tools
Experience supporting
field or customer-reported issues
Location:
Clayton, NC (On-site)
Duration:
12 Months Contract
Rate:
Up to $50/hr (W2)
About the Role
We’re hiring a
System Validation Engineer
to support next-generation
remote control and autonomous machine systems . This is a
hands-on engineering role
focused on integrating and validating embedded control systems, communication networks, and vision-based features on real machines.
If you enjoy
debugging complex systems across hardware, software, and networks , this role is built for you.
️
Key Responsibilities
Plan and execute
system-level validation & verification
for machines and integrated systems
Perform
system integration and regression testing
across hardware, software, and controls
Configure machines for testing ( software flashing, setup, instrumentation )
Capture and analyze data using
sensors, loggers, and diagnostic tools
Validate communication interfaces using
Vector tools (CANoe, CANalyzer, CAPL)
and
Wireshark
Troubleshoot complex issues across
embedded systems, controls, and networks
Develop and maintain
test plans, procedures, and validation documentation
Collaborate with cross-functional teams to
resolve defects and validate fixes
✅
Required Qualifications
Bachelor’s degree in
Electrical, Mechanical, Computer Engineering
or related field
4+ years
of experience in
system integration & validation (embedded systems preferred)
Hands-on experience with
machine/system setup, configuration, and instrumentation
Strong knowledge of
CAN, Ethernet, TCP/IP, and communication protocols
Experience with
Vector tools (CANoe, CANalyzer, CAPL)
Experience using
Wireshark
for network analysis and debugging
Strong
troubleshooting and root cause analysis
skills
Ability to work in
cross-functional engineering teams
⭐
Preferred Qualifications
Experience with
automotive, off-highway, or autonomous systems
Exposure to
HIL, SIL, or automated testing frameworks
Experience with tools like
DOORS, Jama, Azure DevOps
Familiarity with
diagnostics, logging, and data analysis tools
Experience supporting
field or customer-reported issues