Kasmo Global
Software Engineer 2
Location:
Newark, CA Duration:
9 months (Contract to Hire)
Role Overview
We are seeking a skilled
ADAS Sensor Data Engineer
to join our
innovative automotive technology team . This role involves working with advanced sensor technologies, including
camera, LiDAR, and radar systems , to collect, annotate, and synchronize data for
self-driving and ADAS (Advanced Driver-Assistance Systems) features . The ideal candidate will have
strong expertise in C++ and Python , experience with
sensor synchronization , and a solid understanding of
Linux-based development environments .
Key Responsibilities Collect, process, and analyze sensor data from
camera, LiDAR, and radar systems . Synchronize and calibrate
multi-modal sensor data to ensure accuracy and alignment. Develop and maintain
software tools and algorithms
for sensor data processing using
C++ and Python . Collaborate with cross-functional teams to integrate sensor data into
ADAS systems . Work with large datasets, optimizing
data handling, storage, and retrieval . Debug and troubleshoot
software and hardware issues
related to sensor data processing. Optimize
sensor data pipelines
for
performance and reliability
on
Linux-based systems . Participate in
ADAS feature development , ensuring compliance with safety and performance standards. Candidate Requirements
Experience:
5-6 years in software development, with a focus on sensor technologies. Education:
Bachelor's or Master's degree in
Computer Science, Electrical Engineering, Robotics, or a related field . Programming Languages:
Proficiency in
C++ and Python . Sensor Expertise:
Strong understanding of
camera, LiDAR, and radar sensor technologies and data formats . Data Synchronization:
Experience in
synchronizing multi-modal sensor data . Operating Systems:
Solid understanding of
Linux
development environments. Industry Experience:
Familiarity with
ADAS features
and their
software implementation . Problem-Solving:
Strong analytical skills with attention to detail. Collaboration:
Excellent communication and teamwork abilities. Preferred Qualifications
Automotive Industry Experience , particularly in
ADAS or autonomous driving
system development. Knowledge of Sensor Fusion
algorithms and techniques. Experience with Real-Time Data Processing
and embedded systems. Familiarity with Automotive Safety Standards
and regulations. Hiring Process
Hard Skills Assessment:
Two rounds (one with the sponsor, one with the engineering team). Assessment Timing:
ASAP. Candidate Preparation:
No special preparation required.
Newark, CA Duration:
9 months (Contract to Hire)
Role Overview
We are seeking a skilled
ADAS Sensor Data Engineer
to join our
innovative automotive technology team . This role involves working with advanced sensor technologies, including
camera, LiDAR, and radar systems , to collect, annotate, and synchronize data for
self-driving and ADAS (Advanced Driver-Assistance Systems) features . The ideal candidate will have
strong expertise in C++ and Python , experience with
sensor synchronization , and a solid understanding of
Linux-based development environments .
Key Responsibilities Collect, process, and analyze sensor data from
camera, LiDAR, and radar systems . Synchronize and calibrate
multi-modal sensor data to ensure accuracy and alignment. Develop and maintain
software tools and algorithms
for sensor data processing using
C++ and Python . Collaborate with cross-functional teams to integrate sensor data into
ADAS systems . Work with large datasets, optimizing
data handling, storage, and retrieval . Debug and troubleshoot
software and hardware issues
related to sensor data processing. Optimize
sensor data pipelines
for
performance and reliability
on
Linux-based systems . Participate in
ADAS feature development , ensuring compliance with safety and performance standards. Candidate Requirements
Experience:
5-6 years in software development, with a focus on sensor technologies. Education:
Bachelor's or Master's degree in
Computer Science, Electrical Engineering, Robotics, or a related field . Programming Languages:
Proficiency in
C++ and Python . Sensor Expertise:
Strong understanding of
camera, LiDAR, and radar sensor technologies and data formats . Data Synchronization:
Experience in
synchronizing multi-modal sensor data . Operating Systems:
Solid understanding of
Linux
development environments. Industry Experience:
Familiarity with
ADAS features
and their
software implementation . Problem-Solving:
Strong analytical skills with attention to detail. Collaboration:
Excellent communication and teamwork abilities. Preferred Qualifications
Automotive Industry Experience , particularly in
ADAS or autonomous driving
system development. Knowledge of Sensor Fusion
algorithms and techniques. Experience with Real-Time Data Processing
and embedded systems. Familiarity with Automotive Safety Standards
and regulations. Hiring Process
Hard Skills Assessment:
Two rounds (one with the sponsor, one with the engineering team). Assessment Timing:
ASAP. Candidate Preparation:
No special preparation required.