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About the Role

Drive growth in FPGA-based solutions across the Physical AI domain, including robotics, autonomous systems, industrial automation, and edge AI. This role involves expanding design wins for intelligent machines that sense, decide, and act in the physical world. You will bridge the gap between customers, product management, engineering, and ecosystem partners, positioning FPGA solutions against competing architectures. The role requires strong technical business leadership at the system level to help establish and scale emerging markets where FPGAs uniquely unify control, sensor fusion, networking, and AI inference.

Responsibilities

Identify and prioritize target segments in robotics, autonomous systems, industrial and factory automation, and edge AI.
Track and interpret trends in edge AI, multi-sensor fusion, real-time control, Industry 4.0, and robotics/autonomy software stacks.
Identify customer needs for deterministic control, low-latency loops, high-throughput inference, multi-sensor aggregation, functional safety, and reconfigurability.
Build relationships with robotics OEMs, industrial automation vendors, autonomous system developers, edge AI platform vendors, and system integrators.
Influence system and safety architecture decisions and position FPGA-based solutions.
Secure design-ins across platforms, machines, and derivatives.
Support technical sales discussions covering motor/motion control, industrial control, sensor fusion, and edge AI/ML inference.
Engage in system-level discussions on perception-planning-actuation pipelines, control architectures, and processing trade-offs.
Build and manage relationships with sensor, networking, controls, IP, software, and robotics/automation vendors.
Enable joint solutions and reference designs to accelerate customer adoption.
Develop sales collateral including solution briefs, reference architectures, competitive positioning, and ROI/TCO analyses.
Support Sales teams with use-case messaging, customer presentations, and opportunity qualification.
Deliver presentations at customer meetings, industry events, and trade shows.
Provide structured market feedback to product management and engineering.
Influence product direction based on customer needs related to real-time I/O, motion control, safety, edge AI, and embedded deployment constraints.
Support pricing discussions and business case development.

Requirements

Bachelor's Degree in Electrical Engineering, Computer Engineering, or related field (Master's preferred).
7+ years of experience in robotics, industrial/factory automation, autonomous systems, or edge AI/embedded systems.
7+ years of experience in semiconductor, module, controls, or OEM environments.
Strong understanding of motion/motor control and real-time systems.
Strong understanding of industrial control and networking concepts.
Strong understanding of sensor technologies and fusion (camera, LiDAR, IMU, force/torque).
Strong understanding of AI/ML fundamentals (edge inference pipelines).
Familiarity with key interfaces and networks: EtherCAT, PROFINET, EtherNet/IP, TSN, real-time Ethernet, encoder interfaces (BiSS, EnDat, SSI), MIPI CSI-2.
Experience engaging global customers and managing long design cycles.
Design-in mindset: Ability to engage early and secure long lifecycle platform wins.
System-level thinking: Understanding the complete signal chain from sensing through processing to actuation.
Execution focus: Ability to convert opportunities into pipeline and revenue.
Customer-centric approach: Strong listening skills and ability to translate requirements into solutions.
Ecosystem leverage: Driving wins through partnerships, not just silicon features.

Skills

FPGA-based solutions
Physical AI
Robotics
Autonomous systems
Industrial automation
Factory automation
Edge AI
Intelligent machines
Collaborative robots
Autonomous platforms
Edge AI appliances
Perception
Decision
Actuation
Real-time machines
Edge intelligence
Connected factories
Software-defined factories
AI-enabled factories
Deterministic control
Sensor fusion
Real-time networking
Adaptable platform
Technical business leadership
System level
Market development
Market strategy
Target segment identification
Trend analysis
Edge AI inference
Model deployment
Quantization
AI acceleration
Multi-sensor fusion
Camera
LiDAR
IMU
Force/torque sensing
Real-time deterministic control
Multi-axis motion
Industrial networking
Fieldbus
TSN
Industry 4.0
IIoT
Predictive maintenance
Software-defined factory
Robotics software stacks
ROS/ROS2
AI frameworks
Low-latency control
High-throughput inference
Low-power inference
Multi-sensor aggregation
Time synchronization
Functional safety
Human-machine collaboration
Reconfigurability
Customer engagement
Design wins
OEM relationships
Industrial automation vendor relationships
Autonomous system developer relationships
Edge AI platform vendor relationships
Module/subsystem supplier relationships
System integrator relationships
Sales influence
System architecture
Safety architecture
FPGA positioning
Control systems
Sensing systems
Networking systems
Edge AI systems
Design-ins
Technical sales
Motor control
Motion control
Field-oriented control
Multi-axis servo
Encoder interfacing
Industrial control
Real-time networking
PLC/PAC
EtherCAT
PROFINET
EtherNet/IP
Sensor fusion pipelines
Perception pipelines
Edge AI inference pipelines
ML inference pipelines
CNN workloads
Transformer workloads
Functional safety implementation
Safe motion
Redundancy
Diagnostics
System-level discussions
Perception pipelines
Planning pipelines
Actuation pipelines
Centralized control architectures
Distributed control architectures
Robot control architectures
Machine control architectures
Factory cell control architectures
Deterministic processing
GPU-based processing
Ecosystem partnerships
Sensor vendors
Encoder vendors
Actuator vendors
Drive vendors
Industrial networking vendors
Automation software vendors
IP providers
Software stack vendors
AI stack vendors
Robotics module makers
Automation module makers
ODMs
Joint solutions
Reference designs
Customer adoption acceleration
Sales enablement
Sales execution
Sales collateral development
Solution briefs
Reference architectures
Competitive positioning
FPGA alternatives
SoC alternatives
ASSP alternatives
GPU alternatives
MCU alternatives
ROI analysis
TCO analysis
Use-case driven messaging
Customer presentations
Technical positioning
Opportunity qualification
Deal progression
Industry event presentations
Trade show presentations
Internal collaboration
Market feedback
Product management collaboration
Engineering collaboration
Product direction influence
Real-time I/O
Deterministic networking
Motion control features
Safety features
Edge AI capabilities
AI fabric
Power constraints
Thermal constraints
Form factor constraints
Embedded deployment
Mobile deployment
Industrial deployment
Pricing discussions
Business case development
FPGA solution selling
High-speed I/O
Memory subsystems
Edge AI deployment constraints
Latency constraints
Power constraints
Form factor constraints
AI frameworks
Edge AI toolchains
Functional safety awareness
Industrial standards awareness
ISO 10218
ISO/TS 15066
IEC 61508/SIL
IEC 61131-3
IEC 62443
Robotics OEM experience
Industrial automation company experience
Controls company experience
Drive company experience
Autonomous system developer experience
Drone developer experience
AMR/AGV developer experience
Edge AI platform vendor experience
Edge AI appliance vendor experience
MBA
Business training

Location

San Jose, California, United States
Austin, Texas, United States
Oregon Hillsboro

Work Type

Regular
Shift 1 (United States of America)

Experience Level

7+ years of experience

Education Level

Bachelor's Degree in Electrical Engineering, Computer Engineering, or related field
Master's preferred

Salary/Compensations

$166.9K - $241.6K USD

About the Company

We use artificial intelligence to screen, assess, or select applicants for the position.
Applicants must be eligible for any required U.S. export authorizations.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.