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HomeJobsLocationsUnited States

Software Engineering Lead Jobs in United States

4 open positions
4 jobs
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Showing 4 of 4 jobs
emaema·San Francisco·On-site

Software Engineering Lead, Backend

14
Lowest

Who are we? Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google,

OtherSoftware Engineering LeadFull-TimeLead
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Quick Apply
0 0 0 13mo ago
ema
ema·San Francisco

Software Engineering Lead, Backend

OtherSoftware Engineering LeadFull-TimeLead
14
Lowest
13mo ago
0 views0 saves 0 applied

Who are we? Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google,

See 2 similar
Quick Apply
Details
0 views0 saves0 applied
13mo ago
emaema·San Francisco·On-site

Software Engineering Lead, Machine Learning

14
Lowest

Who we are Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, C

OtherSoftware Engineering LeadFull-TimeLead
See 2 similar>
Quick Apply
0 0 0 25mo ago
ema
ema·San Francisco

Software Engineering Lead, Machine Learning

OtherSoftware Engineering LeadFull-TimeLead
14
Lowest
25mo ago
0 views0 saves 0 applied

Who we are Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, C

See 2 similar
Quick Apply
Details
0 views0 saves0 applied
25mo ago
Cerebras SystemsCerebras Systems·United StatesUnited States·Sunnyvale·On-site

Distributed Systems Cluster Security Software – Engineering Lead

$140k–$240k/year
34
Lowest

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training

EngineeringSecurityOtherSoftware Engineering LeadLead
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Quick Apply
6 0 0 ~1mo ago
Cerebras Systems
Cerebras Systems·United StatesUnited States·Sunnyvale

Distributed Systems Cluster Security Software – Engineering Lead

EngineeringSecurityOtherSoftware Engineering LeadLead
$140k–$240k
/year
34
Lowest
~1mo ago
6 views0 saves 0 applied

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training

See 4 similar
Quick Apply
Details
6 views0 saves0 applied
~1mo ago
TenstorrentTenstorrent·North America·Remote · North America

RISC-V AI / HPC & Agentic Software Engineering Lead

38
Lowest

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductor

Data ScienceOtherSoftware Engineering LeadLead
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Quick Apply
5 0 0 ~1mo ago
Tenstorrent
Tenstorrent·North America·Remote

RISC-V AI / HPC & Agentic Software Engineering Lead

Data ScienceOtherSoftware Engineering LeadLead
38
Lowest
~1mo ago
5 views0 saves 0 applied

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductor

See 3 similar
Quick Apply
Details
5 views0 saves0 applied
~1mo ago
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