Business Development Manager - Machine Vision

Job Details:

Job Description:

We are seeking a Business Development Manager to drive growth in FPGA-based solutions in the global Machine Vision market! This role focuses on expanding design wins across a wide range of vision systems – from entry-level smart cameras to high-end multi-sensor platforms and frame grabbers. You will act as the bridge between customers, product management, engineering, and ecosystem partners to position FPGA solutions against competing architectures including ASSPs, GPUs, and microcontroller-based platforms.

Machine vision is shifting toward higher data rates, multi-sensor fusion, and edge AI. FPGAs are uniquely positioned to unify sensing, processing, and control – but winning requires strong technical business leadership at the system level.

Key Responsibilities

1. Market Development & Strategy

• Identify and prioritize target segments including:

  • Factory automation, robotics, logistics, semiconductor inspection

  • Automotive vision systems (ADAS, surround view, in-cabin monitoring)

  • Transportation systems (smart traffic, transit surveillance, tolling, infrastructure monitoring)

• Track and interpret trends in:

  • Sensor technologies (CMOS scaling, global shutter, stacked sensors)

  • Interfaces (SLVS-EC, MIPI CSI-2, CoaXPress, GigE Vision, USB3 Vision)

  • Edge AI and multi-sensor fusion architecture

2. Customer Engagement & Design Wins

• Build relationships with OEMs, camera manufacturers, Tier-1 suppliers, and system integrators

• Drive early-stage engagement with Sales to:

  • Influence system architecture decisions

  • Position FPGA-based solutions in vision and edge AI systems

  • Secure design-ins across target applications

• Support technical sales discussions spanning:

  • ISP pipelines (HDR, denoising, color processing)

  • Vision pipelines (filtering, segmentation, feature extraction)

  • Edge AI / ML inference (CNN-based workloads)

  • Engage in system-level discussions

3. Ecosystem & Partnerships

• Build and manage relationships with:

  • Sensor and camera module vendors

  • IP providers and software stack vendors (vision libraries, AI frameworks)

  • Automotive Tier-1 suppliers and transportation system integrators

• Enable joint solutions and reference designs to accelerate customer adoption

4. Sales Enablement & Execution

• Develop high-impact sales collateral including, Solution briefs, Reference architectures (multi-camera, edge AI systems), Competitive positioning vs alternative technologies, ROI / TCO analyses

• Support Sales teams with:

  • Use-case driven messaging for Automotive and Transportation applications

  • Customer presentations and technical positioning

  • Opportunity qualification and deal progression

• Deliver presentations at customer meetings, industry events, and trade shows

5. Internal Collaboration

• Provide structured market feedback to product management and engineering

• Influence product direction based on customer needs related to:

  • I/O bandwidth and connectivity

  • Memory architecture

  • Edge AI capabilities

  • Packaging and integration

• Support pricing discussions and business case development

The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.  

$166.9K - $241.6K USD 

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

Qualifications:

Required Qualifications

• Bachelor’s Degree in Electrical Engineering, Computer Engineering, or related field (Master’s preferred)
   

• 5+ years of experience in:

  • Machine vision, imaging systems, or embedded edge systems

  • Industrial, Automotive, or Transportation markets
     

• Strong understanding of:

  • Image sensors and camera architectures

  • ISP and video processing pipelines

  • Vision algorithms (filtering, segmentation, feature extraction)

  • AI/ML fundamentals (CNN inference pipelines)
     

• Familiarity with key interfaces:

  • SLVS, SLVS-EC, MIPI CSI-2

  • CoaXPress (CXP), GigE Vision, USB3 Vision
     

• Experience engaging global customers and managing long design cycles

Preferred Qualifications

• Experience with FPGA-based systems or FPGA solution selling

• Understanding of: High-speed I/O and memory subsystems, PCIe architectures, Edge AI deployment constraints (latency, power, bandwidth)

• Familiarity with: Automotive and infrastructure interfaces (e.g., GMSL, FPD-Link, Ethernet-based vision systems)

• Awareness of safety-driven design considerations aligned with ISO 26262 & IEC 61508
   

• Prior experience with:

  • Camera OEMs

  • Frame grabber companies

  • Vision system integrators

• MBA or business training is a plus

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