Jobs in the United States

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Added 1 min ago
C
Founding Engineer, Backend + Infra
Clarity
San Francisco, CA
- $150,000 to $200,000 USD / year
…and correctly every single day and we’re hiring a Founding AI engineer to help lead these backend…
Added 1 min ago
Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
Amazon Web Services, Inc.
Jessup, MD · Arlington, VA · Seattle, WA · New York, NY · Denver, CO · Herndon, VA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 1 min ago
Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
Amazon Web Services, Inc.
Jessup, MD · Arlington, VA · Seattle, WA · New York, NY · Denver, CO · Herndon, VA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 2 mins ago
SH
Founding Data Engineer
Stealth Health Startup
San Francisco, CA
- $145,000 to $215,000 USD / year
As we scale, your responsibilities will evolve. You'll have the opportunity to grow into engineering leadership, architect data systems for millions of patients, mentor new hires, and own…
Added 2 mins ago
Full Stack SWE
Discovery
Remote, United States
As an early engineer, you’ll help architect and build the core systems powering our metadata and royalties platform. You’ll work across the stack - building elegant UIs and robust APIs,…
Added 3 mins ago
Software Engineer
Love Mobile
Remote, United States
Architect, document, and secure RESTful or GraphQL services (Node.js/Python).
Added 3 mins ago
Growth & MarTech Engineer
Love Mobile
Remote, United States
Architect, document, and secure RESTful or GraphQL services (Node.js/Python).
Added 7 mins ago
TH
Founding Engineer
Tally HQ
San Francisco, CA
- $150,000 to $200,000 USD / year
As Founding Full-stack Engineer at Tally, you’ll play a crucial role in building the initial product experience and APIs, agentic systems, and internal tools to transform a massive tax and…
Added 8 mins ago
VA
Founding Engineer (Hybrid)
Voxology AI
Austin, TX
- $150,000 to $250,000 USD / year
We’re hiring a Founding Engineer to join us full-time on-site in Austin, TX. You’ll take end-to-end ownership of our technical roadmap, working closely with leadership to design, build, and…
Added 8 mins ago
VA
Founding Engineer
Voxology AI
Austin, TX
- $150,000 to $250,000 USD / year
We’re hiring a Founding Engineer to join us full-time on-site in Austin, TX. You’ll take end-to-end ownership of our technical roadmap, working closely with leadership to design, build, and…
Added 10 mins ago
Deployment Architect / Forward Deployed Engineer
Champ AI
San Francisco, CA
We're looking for a Deployment Architect / Forward Deployed Engineer to own the path from "first customer call" to "signed contract and live in production." You'll sit next to our…
Added 11 mins ago
HA
Senior Software Engineer
HeyMilo AI
New York City, NY
- $160,000 to $250,000 USD / year
We're looking for a Senior Software Engineer (Core Platform & AI Insights) to optimize the quality of our insights and analysis, ensuring that our AI generates accurate, high-value hiring…
Added 12 mins ago
MB
Sr. ML Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
This is a rare opportunity to join our team as the founding ML engineer, where your code will directly shape how AI systems remember and learn. If you’re a strong programmer who has evolved…
Added 12 mins ago
MB
Sr. Backend Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
Architect secure multi-tenant data isolation ensuring one user's memories never leak to another, using proven patterns and appropriate encryption
Added 12 mins ago
Sr. Applied ML Engineer
Memory Bridge
Remote, United States
This is a rare opportunity to join our team as the founding ML engineer, where your code will directly shape how AI systems remember and learn. If you’re a strong programmer who has evolved…
Added 13 mins ago
SA
CTO (Co-founder)
Straffing AI
New York, NY
- $141,000 to $150,000 USD / year
This is a hands-on CTO Co-Founder opportunity for an entrepreneurial technology leader who can architect, build, and scale products from the ground up while establishing and leading a…
Added 14 mins ago
Senior Generative AI Engineer / Architect
Cinter Career
Plano, TX
・Job Title: Senior Generative AI Engineer / Architect
Added 17 mins ago
EA
Full Stack Engineer
Ember AI
San Francisco, CA
- $140,000 to $180,000 USD / year
Architect and maintain scalable, secure, and reliable systems that integrate with various healthcare platforms.
Added 19 mins ago
M
Senior Software Engineering Manager
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
…continuously and drives engineering excellence. If you are a software engineer who is passionate about developing people and looking to have a huge impact at Microsoft in AI, this could be…
Added 43 mins ago
GCP Data engineer with Dataproc + Big Table
VDart Inc
The Bronx, NY
Google Cloud Certified Professional Data Engineer
Added 55 mins ago
Manager, Development Services
Prologis Management LLC
Atlanta, GA · Columbia, MD
· Professional Engineer or Architect license.
Added 55 mins ago
Manager, Development Services
Prologis Management LLC
Dallas, TX · Houston, TX
· Professional Engineer or Architect license.
Added 55 mins ago
Senior DevOps Engineer
Keyfactor, Inc.
Independence, OH
…you'll trust your future with Keyfactor! Title: Senior DevOps Engineer Location: USA or Canada (Eastern timezone) Experience: Senior (IC4) Job Function: Engineering Employment Type:…
Added 58 mins ago
AI Automation Architect - Manufacturing and MES processes- Remote
Cognizant
Columbus, OH
…fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products…
Added 1 hour ago
M
Principal Software Engineer
Microsoft
BC, CA
- $142,400 to $257,500 CAD / year
As a Principal Software Engineer on the Copilot evaluation team, you will own the technical vision for a platform built AI-first and agent-first: one where autonomous agents are not only…

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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