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Manager, Enterprise & Integration Architect
Johnson & Johnson Services Inc. Legal Entity
New Brunswick, NJ · West Chester, PA · Palm Beach Gardens, FL · Warsaw, IN · Raritan, NJ
DePuy Synthes is recruiting for a Manager, Enterprise & Integration Architect, located in New Jersey.
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Technical Product Owner ID70119
AgileEngine
Blacksburg, VA
- Prior professional experience as a software developer, DevSecOps engineer, or security solutions architect prior to moving into product management.
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AgileEngine
Boca Raton, FL
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AgileEngine
Jacksonville, FL
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AgileEngine
Jersey City, NJ
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AgileEngine
Tampa, FL
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AgileEngine
Baltimore, MD
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AgileEngine
Orlando, FL
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AgileEngine
Boston, MA
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AgileEngine
Houston, TX
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AgileEngine
Austin, TX
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AgileEngine
Irving, TX
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AgileEngine
Richmond, VA
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AgileEngine
San Francisco, CA
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Atlanta, GA
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AgileEngine
Port Charlotte, FL
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AgileEngine
Texas City, TX
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AgileEngine
Tallahassee, FL
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AgileEngine
New York, NY
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AgileEngine
Chicago, IL
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AgileEngine
Dallas, TX
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AWS Technical Lead/Sr. Java/Angular Developer (US Citizenship Required)
General Dynamics Information Technology
Home Office (NCHOME), NC
· MUST HAVE AWS Certified Developer - Associate, Solutions Architect - Associate, or higher-level AWS certification.
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Senior Staff Engineer - Agentic Identity
Cisco
Research Triangle Park, NC
Architect and Build Core Capabilities: Design and implement scalable identity and access management frameworks for AI agents, including token exchange, credential brokering, workload…
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System Engineer SME
General Dynamics Information Technology
Fort Bragg, NC
Bring your technology expertise and drive for innovation to GDIT. The Systems Architect Sr Principal must have:
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Core Senior .NET Software Engineer
Evolent
Raleigh, NC
Architect and implement high-performance APIs and microservices that support critical business functions.

IMC

Hardware Machine Learning Engineer

NY, United States

$200,000 - $225,000 USD

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Job details

Pay: $200,000 - $225,000 USD
Posting language: English
Posted: Feb 13, 2026

Original job description

We are deploying machine learning directly onto custom hardware – and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect solutions from scratch, influence technical research direction, and see your work drive real impact in one of the most demanding computing environments in the world.

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can fix it - there's no vendor to wait on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the boundaries of what's computationally possible, this role is for you. We're looking for researchers and experienced engineers from any background. Trading experience is a bonus, not a prerequisite.

Your Core Responsibilities

Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design inputs
Shape our custom hardware roadmap by translating ML model requirements into concrete architectural decisions
Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production
Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems

Your Skills and Experience

Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
Understanding of machine learning fundamentals – neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
Proficiency in Python, C++, or similar languages for tooling, testing, and simulation
Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

Nice to Have

Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and optimizing models for hardware targets
Background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, real-time signal processing, or similar domains
Familiarity with functional verification methodologies (for example SystemVerilog, UVM, Cocotb)
Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through industry or research experience

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Salary Range

$200,000 - $225,000 USD

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

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